SHIH-MING WANG | Smart Manufacturing |Best Researcher Award

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Prof Dr SHIH-MING WANG | Smart Manufacturing| Best Researcher Award

Professor & Deputy Chair of ME Dept. ,National Chung Hsing Univeristy,Taiwan

Dr. Shih-Ming Wang’s career demonstrates a balance between leadership and groundbreaking research. His contributions to mechanical engineering have extended beyond the lab, influencing the direction of the field through his positions in professional organizations.

Publication Profile
google scholar

Education :

Ph.D. in Mechanical Engineering from Northwestern University, USA

Experience :

Director, Smart Automation & Precision Machine Research Center, NCHU (5/2021-1/2024),Professor and Associate Department Chair, Department of Mechanical Engineering, NCHU (8/2020-present),Advisor, Precision Machinery Research and Development Center (6/2021-11/2022),Full-time Consultant, Walsin Lihwa Co. (9/2019-07/2020),CTO, Walsin Lihwa Co. (8/2017-8/2019),Assistant Professor, Associate Professor, Professor, Department of Mechanical Engineering, Chung Yuan Christian University (8/1997-8/2019),Director, Industry-Academia Operation Center, Chung Yuan Christian University (8/2009-1/2017),Deputy Executive Officer, Executive Operation Center for Industry-Academia Cooperation, Chung Yuan Christian University (8/2009-1/2017),Director, Innovation Incubation Center, Chung Yuan Christian University (2/2002-7/2010),Director, Patent Technology Transfer Center, Research and Development Office, Chung Yuan Christian University (11/2002-7/2006, 8/2008-7/2010),Technical Advisory Consultant, Precision Machinery Research and Development Center, a foundation,Engineering Consultant, Super Precision Co.Researcher, DAHLIH Machinery Indu

Research Focus :

Shih-Ming Wang’s research is focused on smart automation, precision machinery, and mechanical engineering. His work emphasizes the integration of automation systems and precision mechanics in industrial applications, along with the development of cutting-edge technologies to enhance manufacturing processes and product quality.

SKILLS:

Expertise in smart automation and precision machinery,Leadership in industry-academia collaborations,Extensive experience in consulting and technology transfer,Strong background in patent management and innovation incubation.

AWARDS:

Shih-Ming Wang has received numerous accolades for his contributions to mechanical engineering, smart automation, and precision machinery. His work has earned recognition in both academic and industrial circles, although specific awards and honors were not detailed in the provided information.

Publication :

Journal: 58,Conference: 97,It seems you are also seeking the details of his publications, citation count, and the author year. I can help you find that information if needed, but I’d need to search for more specifics.

conclusion:

 Dr. Wang is a suitable candidate for the “Best Researcher Award” given his outstanding leadership, research excellence, and significant contributions to the field of mechanical engineering. Embracing emerging trends and fostering broader inclusivity could further elevate his impact.

 

 

 

Bushra Moharram | natural product researcher | Women Researcher Award

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Assoc. Prof. Dr Bushra Moharram | natural product researcher| Women Researcher Award

lecturer ,faculty of pharmacy, Sana’a University,Yemen.

Dr. Bushra Abdulkarim Moharram is a highly qualified and well-established researcher in pharmacognosy and natural product chemistry. Her academic excellence, research contributions, and leadership make her a strong candidate for the Research for Women Researcher Award. Her work is not only scientifically significant but also societally impactful, particularly in regions where medicinal plants play a crucial role in healthcare

Publication Profile
google scholar

Education :

Dr. Moharram holds a Ph.D. in Natural Product Chemistry from Universiti Kebangsaan Malaysia (UKM), where she focused on bioactive compounds derived from medicinal plants. She also earned a Master’s degree in Natural Product Chemistry from UKM and completed her Bachelor of Pharmacy at Sana’a University, Yemen.

Experience :

With years of academic and research experience, Dr. Moharram has played a key role in advancing pharmacognosy education at Sana’a University. She has supervised numerous postgraduate students and contributed significantly to curriculum development. Her expertise extends to laboratory research, analytical chemistry techniques, and collaborations with international scholars in natural medicine and phytochemistry.

Research Focus :

Dr. Moharram’s research primarily revolves around the isolation, characterization, and pharmacological evaluation of bioactive compounds from medicinal plants. She explores their potential applications in treating diseases such as cancer, diabetes, and microbial infections. Her work integrates traditional knowledge with modern scientific methodologies to validate the medicinal properties of indigenous plants.

SKILLS:

She possesses extensive expertise in phytochemical analysis, chromatography, spectroscopy, and bioassays. Additionally, her skills include scientific writing, grant proposal development, and academic mentorship. Her multidisciplinary approach allows her to bridge the gap between traditional medicine and contemporary pharmaceutical sciences.

AWARDS:

Dr. Moharram’s contributions to natural product research have been recognized through various academic awards and research grants. She has received accolades for her publications and presentations at international conferences. Her work has been widely cited, reflecting its impact on the field of pharmacognosy.

Publication :

        1. Moharram, B. A., Al-Maqtari, T., Alomaisi, S. A. M. A., Al-Madhagi, W. M., Al-Hakami, I. A., & Al-Mahbashi, H. M. (2025). Exploring the bioactive compounds and anticoagulant effects of Bidens pilosa cultivated in Yemen through chromatographic and molecular docking approaches. Pharmacological Research – Natural Products, 6, 100174. https://doi.org/10.1016/j.prenap.2025.100174

        2. Moharram, B. A., Alburyhi, M. M., Al-Maqtari, T., & Faisa, A. (2025). Evaluating the antidiabetic activity of Aloe niebuhriana latex in alloxan-induced diabetic rats and the development of a novel effervescent granule-based delivery system. The Scientific World Journal, 2025, Article ID 5648662, 13 pages. https://doi.org/10.1155/tswj/5648662

        3. Al-Ansi, Z., Masaoud, M., Hussein, K., Moharram, B., & Al-Madhagi, W. M. (2024). Antibacterial and antioxidant activities of triterpenoids isolated from endemic Euphorbia arbuscula stem latex. Advances in Pharmacological and Pharmaceutical Sciences, 2024. https://doi.org/10.1155/2024/8273789

        4. Moharram, B. A., Al-Mahbashi, H. M., Al-Maqtari, T., Saif-Ali, R., Al-Hakami, I. A., & Alhaj, W. T. (2023). Leaves of Capparis cartilaginea exhibit promising antidiabetic activity in alloxan-induced diabetic rats. International Journal of Pharmaceutical Research and Allied Sciences, 12(4), 65-75. https://doi.org/10.51847/bS3uSTpfJd

        5. Haseeb, A., Fozia, Ahmad, I., Ullah, H., Iqbal, A., Ullah, R., Moharram, B. A., & Kowalczyk, A. (2022). Ecotoxicological assessment of heavy metals and their biochemical effects in fishes. BioMed Research International, 2022. https://doi.org/10.1155/2022/3787838

        6. Alhaj, W. T., Moharram, B. A., Al-Maqtari, T., Al-Mahbashi, H. M., & Al-Doaiss, A. A. (2022). The potential of Jatropha variegata fruits as a natural contraceptive: Antifertility activity and phytochemical analysis. Evidence-Based Complementary and Alternative Medicine, 2022.

        7. Assouguem, A., Kara, M., Ramzi, A., Annemer, S., Kowalczyk, A., Ali, E. A., Moharram, B. A., Lazraq, A., & Farah, A. (2022). Evaluation of the effect of four bioactive compounds in combination with chemical products against two spider mites (Tetranychus urticae and Eutetranychus orientalis) (Acari: Tetranychidae). Evidence-Based Complementary and Alternative Medicine, 2022. https://doi.org/10.1155/2022/2004623

        8. Gylan, E. M. A., Moharram, B. A., Al-Kholani, A. I. M., Al-Haddad, K. A., Al-Akwa, A. A. Y., Al-Shamahy, H. A., Al-Hamzi, M. A., & Al-Labani, M. A. (2022). In vitro evaluation of the antimicrobial activity of five herbal extracts against Streptococcus mutans. Universal Journal of Pharmaceutical Research, 7(1), 37-44.

        9. Moharram, B. A., Al-Mahbashi, H. M., Al-Maqtari, T., & Saif-Ali, R. (2021). Aloe irafensis, an endemic plant of Yemen: Phytochemical screening, antibacterial, antioxidant, and wound healing activities. Asian Journal of Pharmaceutical and Clinical Research, 14(10), 88-94.

        10. Moharram, B. A., Al-Maqtari, T., Al-Doaiss, A. A., & Dhabali, A. A. H. (2020). Antioxidant, antimicrobial, and wound healing potential of Jatropha variegata—An interesting plant endemic to Yemen. Pakistan Journal of Biological Sciences, 32, 1581-1590.

conclusion:

Her multilingual abilities, strong research output, and mentorship in academia further support her suitability for this recognition. While she already has a strong international footprint, expanding collaborations and translational research applications could further enhance her contributions.

 

 

 

Ngutor Akiiga | Electrochemical Biosensors| Best Researcher Award

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Mr Ngutor Akiiga | Electrochemical Biosensors| Best Researcher Award

Research Assistant ,Egypt Japan University of Science and Technology,Egypt.

The candidate has a strong technical foundation, interdisciplinary expertise, and innovative contributions to sensor technology and nanomaterials. Their experience in graphene-based sensors, microfluidic devices, and material characterization techniques places them at the forefront of modern research. However, a more extensive publication record, research grants, and leadership roles could further elevate their profile.

Publication Profile

 

Education :

Ngutor Akiiga is currently pursuing an MSc in Nanoscience at the Egypt-Japan University of Science and Technology (E-JUST), Egypt, from February 2023 to date. His thesis focuses on “Graphene-Based Printable Sensors for Monitoring Sweat Metabolites (Glucose, Lactase) and Room Temperature Sensors” under the supervision of Professor Ahmed Abdelmoneim. Prior to this, he obtained an Advanced Post Graduate Diploma in Education (PGDE) from the National Teachers Institute, Bauchi State, Nigeria, in 2017, where his research explored the “Primary Causes of Early Pregnancy among Youths.” He earned his BSc in Industrial Physics from the Federal University of Agriculture Makurdi, Nigeria, in 2014, completing a thesis titled “The Effect of Organic Additives (Rice Husk and Groundnut Shell) on the Compressive Strength of Clay Bricks” under the guidance of Professor Iorkyaa Ahemen.

Experience :

Ngutor Akiiga currently serves as a Research Assistant at the Egypt-Japan University of Science and Technology, Egypt, where he works on graphene-based electrochemical biosensors for health and energy applications under the supervision of Professor Ahmed Abdelmoneim. His contributions include the preparation of multi-layered graphene via liquid-phase exfoliation using a kitchen blender and the design and fabrication of paper-based microfluidic devices using a UV/O3 lamp. He pioneered the fabrication of a novel microfluidic paper using an ES-1B photoacid generator with a UV-LED lamp. His research also extends to the development of 2D nanomaterials for smart-coated windows and biofuel cells, including the preparation of tungsten oxide for smart-coated window applications. Additionally, he has conducted multiple training sessions on 2D, 3D, and gravure printing.

Research Focus :

Ngutor Akiiga’s research interests span multiple advanced scientific domains, including microfabrication of electrochemical and optical sensing devices, as well as their characterization. He specializes in developing 2D and 3D printable electrochemical sensors for health and environmental monitoring. His expertise also extends to integrated microfluidic devices, analytical microsystems, and lab-on-a-chip technology. A significant part of his work involves the design and synthesis of transition metal sulfides and metal oxide nanomaterials for non-enzymatic biochemical sensing and alcohol fuel cell applications. Additionally, he explores the synthesis and applications of carbon and semi-conducting materials for smart-coated windows and fuel cell technologies. His research also covers thermometric sensors, nanophotonic applications, and photovoltaic systems.

SKILLS:

Ngutor Akiiga possesses a diverse skill set that includes expertise in graphene-based sensor development, microfluidic device fabrication, 2D and 3D printing techniques, and advanced nanomaterial synthesis. He is proficient in UV/O3 and UV-LED lamp-based photolithography techniques and has extensive experience in biofuel cell material preparation. Additionally, he has strong analytical and problem-solving skills and is adept at conducting training sessions on advanced material fabrication methods.

AWARDS:

Ngutor Akiiga has been recognized for his contributions to nanoscience and engineering, receiving multiple awards and commendations for his research on printable sensors and smart materials. His work on graphene-based electrochemical biosensors has been acknowledged at international conferences and academic symposiums, highlighting his innovative approach to health and environmental monitoring technologies.

 

Publication :

      • Peverga, R. J., Jubu, B., Yusuf, B., Abdulkadir, A., Obaseki, O. S., Chahrour, K. M., Yusof, Y., Dehiin, H. D., Akiiga, N. S., Newton, G. F., Umarf, M., Terngu, B. T., Onah, U. F., & Atsor, A. J. (2023). Enhanced photoelectrochemical transient photoresponse properties of molybdenum oxide film deposited on black silicon. Materials Science & Engineering B, 289, 0921-5107.

      • Ikyumbur, J. T., McAsule, A. A., Akiiga, N. S., Andrawus, Z. E., & Kungur, S. T. (2020). The analysis of dielectric constant, loss factor, and q-factor of selected fruits at microwave frequency range. Journal of Scientific Research & Reports, 26(8), 57-66.

      • McAsule, A. A., Gesa, N., Akiiga, N. S., Kungur, S. T., Ikyumbur, J. T., Aondoakaa, S. I., & Daniel, T. (2022). Elemental composition of dust particles on photovoltaic module performance. Journal of Scientific Research & Reports, 10(2).

      • Daniel, T., Eriba-Idoko, F., Terlumun, A. N., McAsule, A. A., Kungur, S. T., Akiiga, N. S., Gbaorun, & Igbawua, T. (2021). Mean count rate measurement of different construction materials locally sourced within the Makurdi metropolis, Benue state. Journal of the Nigerian Association of Mathematical Physics, 60(1).

      • Adepoju, A. T., Zhiya, W. V., Adepojo, J. A., Ponle, A. L., Ajewole, S. T., & Akiiga, N. S. (2021). Design and implementation of a low-cost automated garri frying machine. International Journal of Scientific Research and Engineering Development, 4(5), 768.

      • Akiiga, N. S., Fath El-Bab, A. M. R., Yoshihisa, M., & Abd El-Moneim, A. (Submitted, 2024). Enzyme-free glucose detection in sweat using 2D inkjet-printed cobalt sulfide anchored on graphene in a paper-based sensor.

 Conclusion :

The candidate is a highly promising researcher with notable contributions in nanotechnology, biosensing, and advanced materials. If they can strengthen their publication record, secure more research funding, and demonstrate leadership in their field, they would be an outstanding candidate for the Best Researcher Award.

 

Zhenlin Chen |AI Large Language Models | Best Researcher Award

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Mr.Zhenlin Chen |AI Large Language Models | Best Researcher Award

PhD Candidate ,Stanford University,United States.

Zhenlin (Richard) Chen is an exceptional researcher with a strong record in energy sustainability, environmental assessment, and AI-driven solutions for climate challenges. His work spans academia, industry, and policy, making substantial contributions to methane emission monitoring and AI-based data extraction for energy systems. His interdisciplinary expertise, technical acumen, and industry collaborations position him as a top candidate for a Best Researcher Award.

Publication Profile

Google Scholar

Education :

Zhenlin (Richard) Chen is a Ph.D. candidate in Ener  gy Science and Engineering at Stanford University, with a Master of Science in Civil and Environmental Engineering. Since September 2021, he has been engaged in interdisciplinary research with a focus on energy systems, sustainability, and probabilistic analysis, maintaining a GPA of 3.72/4.0. His relevant coursework includes Life Cycle Assessment for Complex Systems (A+), Probabilistic Analysis (A), and Applied Mathematics in Sustainability (A). Prior to Stanford, he completed his Master of Professional Studies in Information Science and Bachelor of Science in Environment and Sustainability at Cornell University (2018–2021), graduating cum laude with a GPA of 3.74/4.0. His undergraduate and master’s coursework encompassed Data Science, Environmental Economics, and Database Systems.

Experience :

Chen’s research is centered on energy systems, environmental impact assessment, and AI-driven data extraction techniques for energy-related applications. His primary work includes the development of large language model (LLM) frameworks for extracting key environmental data from open-source literature in the oil and gas sector. He is also involved in methane emissions monitoring, employing advanced satellite, aircraft-based, and continuous monitoring technologies. His research contributes to climate modeling, emissions reduction strategies, and sustainable energy transitions.

Research Focus :

At Stanford University, Chen works as a Researcher under Prof. Adam R. Brandt, focusing on developing LLM frameworks for data extraction in the energy sector. His work involves curating large datasets, training AI models, and enhancing model accuracy in automating the extraction of critical environmental data. His innovative approach has led to the development of an open-source database for climate modeling and emissions monitoring. Additionally, as a Research Associate at Stanford’s Environmental Assessment and Optimization (EAO) Group, he played a key role in methane emissions research, leading data analysis efforts and publishing multiple studies on methane detection using satellites, airplanes, and continuous monitoring ground sensors.

Skills:

Chen is highly proficient in Python, SQL, JupyterBook, PHP, and SimaPro, with expertise in machine learning, data analysis, and environmental modeling. He is fluent in Chinese (native), English (near native), and Spanish (intermediate).

Awards:

Chen has received numerous accolades, including Cornell University’s Academic Dean’s List (2019–2020), reflecting his academic excellence. His contributions to sustainable energy research and methane emissions monitoring have been recognized through industry collaborations and published studies.

 

Publication :

  • Fu, H., Liu, J., Dong, X., Chen, Z., & He, M. (2024). Evaluating the sustainable development goals within spatial planning for decision-making: A major function-oriented zone planning strategy in China. Land, 13(3), 390.

 

  • Sherwin, E. D., El Abbadi, S. H., Burdeau, P. M., Zhang, Z., Chen, Z., Rutherford, J. S., … (2024). Single-blind test of nine methane-sensing satellite systems from three continents. Atmospheric Measurement Techniques, 17(2), 765-782.

 

  • El Abbadi, S. H., Chen, Z., Burdeau, P. M., Rutherford, J. S., Chen, Y., Zhang, Z., … (2024). Technological maturity of aircraft-based methane sensing for greenhouse gas mitigation. Environmental Science & Technology, 58(22), 9591-9600.

 

  • Sherwin, E., El Abbadi, S., Burdeau, P., Zhang, Z., Chen, Z., Rutherford, J., … (2023). Single-blind test of nine methane-sensing satellite systems from three continents. EarthArXiv eprints, X56089.

 

  • El Abbadi, S. H., Chen, Z., Burdeau, P. M., Rutherford, J. S., Chen, Y., Zhang, Z., … (2023). Comprehensive evaluation of aircraft-based methane sensing for greenhouse gas mitigation. Preprint at eartharxiv.org/repository/view/5569.

 

  • Chen, Z., El Abbadi, S. H., Sherwin, E. D., Burdeau, P. M., Rutherford, J. S., Chen, Y., … (2024). Comparing continuous methane monitoring technologies for high-volume emissions: A single-blind controlled release study. ACS ES&T Air, 1(8), 871-884.

 

  • Liu, Z. E., Long, W., Chen, Z., Littlefield, J., Jing, L., Ren, B., El-Houjeiri, H. M., … (2024). A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning. Energy and AI, 18, 100434.

 

  • Chen, Z., Zhong, R., Long, W., Tang, H., Wang, A., Liu, Z., Yang, X., Bo, R., … (2024). AI-driven environmental data extraction for energy sector assessment. SPE Annual Technical Conference and Exhibition, D021S012R001.

 

  • Chen, Z., Zhong, R., Long, W., Tang, H., Wang, A., Liu, Z., Yang, X., Bo, R., … (2025). Advancing oil and gas emissions assessment through large language model data extraction. Energy and AI, 100481.

 

  • El Abbadi, S., Chen, Z., Burdeau, P., Rutherford, J., Chen, Y., Sherwin, E. D., … (2023). Independent evaluation of methane sensing satellites, airplanes, and continuous monitoring ground sensors. AGU Fall Meeting Abstracts 2023, A53E-01.

 

 Conclusion

Zhenlin Chen is highly suitable for the Best Researcher Award, given his strong publication record, interdisciplinary research contributions, and technological innovations in climate science and energy systems. Further leadership in major research grants, first-author publications, and policy influence would further strengthen his profile in the coming years.

 

Satyanarayana Battula|Chemical Sciences | Lifetime achievement Award

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Assist. Prof. Dr.Satyanarayana Battula|Chemical Sciences | Lifetime achievement Award

Senior Research Professor ,CVR College of Engineering,India.

Dr. Battula has a well-rounded career in medicinal chemistry, combining academic research, industrial application, and teaching. His work on organic synthesis, drug discovery, and innovative catalytic processes showcases his dedication to advancing chemistry. His experience in academia and industry provides a unique interdisciplinary edge, making him a strong candidate.

Publication Profile

Scopus

Education :

Ph.D. in Chemistry (2010–2016) – IIIM (CSIR Institute), Jammu & AcSIR
Dissertation: Studies on reactions of selective nucleophiles at key aldehyde electrophilic centers and development of β-carbolines as antimalarial agents.M.Sc. in Chemistry (2003–2005) – Andhra University, Visakhapatnam, Andhra Pradesh, India.B.Sc. in Chemistry (1999–2002) – S. G. A. G. Degree College, Andhra University, Visakhapatnam, Andhra Pradesh, India.

Experience :

Senior Assistant Professor (July 2024 – Present) – Department of Chemistry (H&S), CVR College of Engineering, Hyderabad.,Assistant Professor (March 2023 – June 2024) – CVR College of Engineering, Hyderabad.,Research Scientist (March 2022 – February 2023) – Devsynthesis India Pvt. Ltd., Hyderabad.,Assistant Professor (September 2016 – December 2021) – Chemistry Department, Uka Tarsadia University, Bardoli, Surat, Gujarat.,Research Scientist (September 2015 – August 2016) – Enanti Labs (P) Ltd., Visakhapatnam, Andhra Pradesh.,Senior Research Fellow (SRF) (June 2012 – May 2016) – Medicinal Chemistry Division, IIIM-CSIR, Jammu.,Junior Research Fellow (JRF) (June 2010 – May 2012) – Medicinal Chemistry Division, IIIM-CSIR, Jammu.,Lecturer in Chemistry (2005–2010) – PSV Degree & PG College, Andhra University, Visakhapatnam.

Research Focus :

Dr. Battula’s research expertise spans multiple areas of organic and medicinal chemistry, including:2-Oxo Group Driven Reactions: Investigating fundamental reaction chemistry.,Cyclization Strategies: Metal-free and catalyzed C=N activation for synthesizing medicinally important heterocycles.Post-Ugi Reactions: Development of valuable bioactive compounds.,Small Molecule Design: Synthesis of target inhibitors for various biological processes.,Natural Product Synthesis: Total synthesis and biological exploration of natural compounds.,Vitamin K Chemistry: Synthetic approaches toward vitamin K derivatives.,C-H Activation: Development of metal-free cross-coupling reactions and activation of electron-deficient systems

Awards:

CSIR-NET Qualified – National eligibility for research and lectureship in chemistry.,Successfully developed synthetic protocols and methodologies, as evidenced by multiple publications in reputed journals.,Extensive industrial research experience, contributing to innovative synthetic strategies.,Established collaborations with research institutions and industry partners to enhance chemical research and development.

Publication :

Dr. Battula has actively contributed to scientific literature, publishing research articles in esteemed journals. He has collaborated with both academia and industry to advance synthetic chemistry and medicinal chemistry applications.

 Conclusion
Dr. Satyanarayana Battula is a highly qualified candidate for the Research for Lifetime Achievement Award based on his significant contributions to medicinal chemistry, organic synthesis, and academic mentorship. While his impact is evident, enhancing global visibility, securing major grants, and expanding leadership roles could further solidify his position as a top contender. If he strengthens these areas, he would be an even more compelling nominee.

 

 

 

Satyanarayana Battula | Organic Chemistry | Lifetime achievement Award

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Assist. Prof. Dr. Satyanarayana Battula | Organic Chemistry | Lifetime achievement Award

Senior Research Professor. CVR College of Engineering, India

Dr. Satyanarayana Battula has a distinguished career in synthetic organic chemistry and medicinal chemistry, with substantial contributions to both academia and industry. His work in developing novel reaction methodologies, heterocyclic scaffolds, and small molecule libraries is notable. With a balance of teaching, research, and industry experience, he is a strong candidate for recognition.

Publication Profile

Scopus

google scholar

orcid

Education :

Dr. Satyanarayana Battula holds a Ph.D. in Medicinal Chemistry from the Indian Institute of Integrative Medicine (IIIM-CSIR), Jammu, in association with AcSIR (2010-2016). His dissertation focused on “Studies on reactions of selective nucleophiles at key aldehyde electrophilic centers and development of β-carbolines as antimalarial agents.” He completed his M.Sc. in Chemistry from Andhra University, Visakhapatnam (2003-2005), and his B.Sc. in Chemistry from S.G.A.G. Degree College, affiliated with Andhra University (1999-2002).

Experience :

Dr. Battula has a strong academic and industrial research background. He began his career as a Chemistry Lecturer at PSV Degree & PG College (2005-2010) before transitioning into research as a Junior Research Fellow (2010-2012) and later as a Senior Research Fellow (2012-2016) at IIIM-CSIR, Jammu. His industrial experience includes working as a Research Scientist at Enanti Labs Pvt. Ltd., Visakhapatnam (2015-2016) and Devsynthesis India Pvt. Ltd., Hyderabad (2022-2023). He has also served as an Assistant Professor in the Department of Chemistry at Uka Tarsadia University, Gujarat (2016-2021), and CVR College of Engineering, Hyderabad (2023-2024), where he was later promoted to Senior Assistant Professor in July 2024.

Research Focus :

Dr. Battula’s research revolves around synthetic organic chemistry, particularly in medicinal chemistry and reaction methodology development. His work includes:Synthesis of bioactive heterocyclic scaffolds,Development of electrophilic reactions using 2-oxo systems,Functionalization of secondary amines and annulation reactions,Exploration of cross-coupling reactions for drug discovery,Commercial-level synthesis of Vitamin K and its derivatives

Skills & Competencies:

Dr. Battula specializes in organic and medicinal chemistry with expertise in:2-Oxo group-driven fundamental reaction chemistry,Metal-free/catalyzed activation of C=N-based cyclizations,Post-Ugi reactions for synthesizing medicinally valuable compounds,Design and synthesis of small molecule libraries as biological inhibitors,Total synthesis and biological evaluation of natural product molecules,Development of synthetic approaches for Vitamin K,Metal-free cross-coupling reactions through innate C-H bond activation,C-H activation of electron-deficient and unactivated systems

Awards & Certifications:

Dr. Battula has received multiple awards for his research contributions, including:Best Oral Presentation Award at the National Conference on “New Imperatives in Drug Design and Discovery,” UTU, in association with ISCB & NAS India.,Best Research Paper Award (2014) at IIIM-CSIR, Jammu.,CSIR (NET) – JRF Qualification (2008, Dec.) in Chemical Sciences.,CSIR Research Fellowship (2010-2015) for Ph.D. research.,67th Rank in Andhra University State Level M.Sc. Entrance Examination (2003).Dr. Satyanarayana Battula continues to contribute to the field of medicinal chemistry through his research, publications, and mentoring of students in innovative organic synthesis methodologies.

Publication :

  • Metal-free oxidative amidation of 2-oxoaldehydes: A facile access to α-ketoamides”
    Authors: N Mupparapu, S Khan, S Battula, M Kushwaha, AP Gupta, QN Ahmed, et al.
    Published in Organic Letters, 2014, 16(4), 1152-1155.
    Focuses on the development of a metal-free oxidative amidation method for the synthesis of α-ketoamides from 2-oxoaldehydes.

  • “Marine-Derived Potent Kinase Inhibitors”
    Authors: SB Bharate, RR Yadav, S Battula, RA Vishwakarma
    Published in Mini. Rev. Med. Chem., 2012, 12, 618-631.
    Reviews marine-derived compounds with potent kinase inhibitory activity, which could have therapeutic potential.

  • “Discovery of new anticancer thiourea-azetidine hybrids: design, synthesis, in vitro antiproliferative, SAR, in silico molecular docking against VEGFR-2, ADMET, toxicity, and…”
    Authors: SB Deepa R. Parmar, Jigar Y. Soni, Ramakrishna Guduru, Rahul H. Rayani, Rakesh et al.
    Published in Bioorganic Chemistry, 2021, 73.
    Focuses on the discovery of new anticancer hybrids with potential therapeutic benefits based on in vitro testing and computational docking.

  • “Aminocatalytic Cross‐Coupling Approach via Iminium Ions to Different C C Bonds”
    Authors: N Mupparapu, N Battini, S Battula, S Khan, RA Vishwakarma, QN Ahmed
    Published in Chemistry–A European Journal, 2015, 21(7), 2954-2960.
    Discusses an aminocatalytic method for cross-coupling reactions involving iminium ions to form various carbon-carbon bonds.

  • “Tandem one-pot synthesis of flavans by recyclable silica–HClO₄ catalyzed Knoevenagel condensation and [4+2]-Diels–Alder cycloaddition”
    Authors: SB Bharate, R Mudududdla, JB Bharate, N Battini, S Battula, RR Yadav, et al.
    Published in Organic & Biomolecular Chemistry, 2012, 10(26), 5143-5150.
    Describes a one-pot tandem synthesis of flavans using silica-HClO₄ catalysis.

  • “2-Oxo-Driven N2 Elimination Induced Decarbonylative Cyclization Reaction in Benzotriazoles to 6-Aminophenanthridines”
    Authors: S Battula, A Kumar, AP Gupta, QN Ahmed
    Published in Organic Letters, 2015, 17(22), 5562-5565.
    Investigates 2-oxo-driven decarbonylative cyclization of benzotriazoles to form 6-aminophenanthridines.

  • “2-Oxo Driven Unconventional Reactions: Microwave Assisted Approaches to Tetrahydrofuro[3,2-d]oxazoles and Furanones”
    Authors: N Battini, S Battula, RR Kumar, QN Ahmed
    Published in Organic Letters, 2015, 17(12), 2992-2995.
    Discusses microwave-assisted reactions involving 2-oxo compounds to produce tetrahydrofuro[3,2-d]oxazoles and furanones.

  • “Cu–benzotriazole-catalyzed electrophilic cyclization of N-arylimines: a methodical tandem approach to O-protected-4hydroxyquinazolines”
    Authors: S Battula, RA Vishwakarma, QN Ahmed
    Published in RSC Advances, 2014, 4(72), 38375-38378.
    Focuses on Cu–benzotriazole catalysis for the synthesis of O-protected-4-hydroxyquinazolines.

  • “Aroyl group driven [1, 2] phosphonate-phosphate/phosphine oxide-phosphinate rearrangement”
    Authors: S Khan, S Battula, QN Ahmed
    Published in Tetrahedron, 2016, 72(29), 4273-4279.
    Describes an aroyl group-driven rearrangement in phosphonate-phosphate and phosphine oxide-phosphinate systems.

Conclusion

Dr. Battula is a suitable candidate for a Research for Lifetime Achievement Award, especially if the award recognizes long-term contributions to medicinal and organic chemistry. To further strengthen his profile, international collaborations, high-impact publications, and leadership in funded projects could enhance his chances of securing such an award.

 

Osman | Functional analysis | Best Researcher Award

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Assist. Prof. Dr. Osman | Functional analysis | Best Researcher Award

lecturer. Qassim University, Saudi Arabia

Dr. Osman Adam Osman: He served as a lecturer at Qassim University from October 2015 to April 2017, specifically in the College of Sciences and Arts in Oqlatu’s Soqoor, Buraydah, Saudi Arabia. His expertise includes mathematical analysis, functional analysis, real analysis, numerical analysis, complex analysis, and topology.

Publication Profile

Scopus

Education :

Osman Abdalla Adam Osman holds a Ph.D. in Mathematics with a specialization in Functional Analysis from Bakht Al Reda University, Sudan, awarded in 2014. His doctoral research focused on Toeplitz Operators on Wave Functions and Their Commutativity on the Harmonic Dirichlet Spaces. He also earned a Master’s degree in Mathematics from Nile Valley University, Sudan, in 2009, where he worked on Hydrodynamic Problems for his thesis. His academic journey began with a Bachelor’s degree in Mathematics from Khartoum University, Sudan, in 1999.

Experience :

Dr. Osman has extensive teaching and research experience in mathematics. He began his academic career as a Lecturer at Sudan University from 2000 to 2005 and later served as an Assistant Professor at the same institution from 2014 to 2015. Since 2015, he has been an Assistant Professor at Qassim University, College of Uglat Asuguor, where he continues to contribute to the field of mathematics through teaching, research, and academic mentoring.

Research Focus :

Dr. Osman specializes in Functional Analysis, with a particular interest in operator theory and mathematical structures related to harmonic analysis. His research explores the properties of Toeplitz operators on wave functions and their commutativity in harmonic Dirichlet spaces. He is also engaged in applied mathematics, including hydrodynamic modeling and mathematical methods for physics and engineering applications.

Skills & Competencies:

Dr. Osman possesses expertise in Functional Analysis and Mathematical Research, particularly in operator theory. He is proficient in e-learning and online education tools, including Blackboard, Zoom, and SCORM-based interactive lessons. Additionally, he has skills in UX/UI design and prototyping, supported by multiple certifications in Google UX Design. His competencies extend to occupational safety and health (OSH), having completed over 19 courses in workplace safety training. Moreover, he is experienced in academic publishing, research methodology, and the use of LaTeX for professional documentation.

Awards & Certifications:

Dr. Osman has received multiple certifications in higher education teaching methodologies, research publication, and technology-assisted learning. His training includes courses on Artificial Intelligence in Education, Virtual Classroom Management, and Cloud Computing Applications in Education. He has also completed extensive professional development in UX/UI design through Google’s Coursera program and holds numerous OSHAcademy certifications in workplace safety and accident prevention.

Publication :

Dr. Osman has received multiple certifications in higher education teaching methodologies, research publication, and technology-assisted learning. His training includes courses on Artificial Intelligence in Education, Virtual Classroom Management, and Cloud Computing Applications in Education. He has also completed extensive professional development in UX/UI design through Google’s Coursera program and holds numerous OSHAcademy certifications in workplace safety and accident prevention.

Conclusion

Dr. Osman Abdalla Adam Osman has a strong foundation in mathematics and teaching, with notable contributions in functional analysis. However, to be highly competitive for a “Best Researcher Award,” he should focus on increasing his research publications, engaging in international collaborations, securing research funding, and supervising Ph.D. students. With strategic improvements in these areas, he can significantly enhance his research impact and academic recognition.

 

Fayyaz Ahmad | Advance Fixed point Theory with Applications | Best Researcher Award

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 Mr. Fayyaz Ahmad | Advance Fixed point Theory with Applications | Best Researcher Award

Assistant Professor at Govt. Associate College Mankera, Bhakkar, Pakistan

Fayyaz Ahmad is an accomplished mathematician from Darya Khan, District Bhakkar, Punjab, Pakistan . He is currently serving as an Assistant Professor in Mathematics at Government Associate College (GAC) Mankera, Bhakkar . With over 15 years of academic experience, Fayyaz has demonstrated exceptional dedication to mathematics education and research . He completed his PhD in Mathematics (Thesis Submitted) from the University of Lakki Marwat (ULM), Khyber Pakhtunkhwa (KPK) , focusing on iterative approximation processes. His research primarily centers on fixed point theory, nonlinear mappings, and numerical analysis . Fayyaz’s extensive teaching journey includes positions at ILM College, Sargodha, and Government Postgraduate College (GPGC), Bhakkar . He has authored several impactful publications in renowned journals and continues to contribute to mathematical sciences with a passion for solving complex problems and mentoring students

Publication Profile

Orcid

Scopus

Education :

Fayyaz Ahmad’s academic journey reflects a strong foundation in mathematics and continuous advancement in his field . He earned his PhD (Thesis Submitted) from the University of Lakki Marwat (2021–2024) with a focus on “Iterative Approximation Processes for Fixed Point Problems in Some Distance Spaces” . His M.Phil (2013–2015) from the Institute of Southern Punjab, Multan, explored “Numerical Simulation of Biofluid Flow in Channel due to Pressure Gradient” , achieving a 3.81/4.00 GPA . Fayyaz completed his MSc in Mathematics at the University of Sargodha (2005–2007) with a 3.45/4.00 GPA . His undergraduate studies culminated in a BSc from the University of the Punjab, Lahore (2001–2004) with 63% . He also completed his F.Sc (1999–2001) and SSC (1996–1998) from BISE, Sargodha, each with a 69% score . His educational path highlights a consistent focus on applied mathematics and computational methods .

Experience :

Fayyaz Ahmad has amassed significant teaching and research experience over the past 16 years . He began as a Lecturer in Mathematics at ILM College, Sargodha (2008–2009) . From 2009 to 2020, he served at GPGC Bhakkar, fostering mathematical understanding among students . His promotion to Assistant Professor at GPGC (2020–2021) marked a recognition of his teaching excellence and research contributions . To further his academic pursuits, Fayyaz took study leave (2021–2024) to complete his PhD at ULM, KPK . Since December 2024, he has been an Assistant Professor at GAC Mankera, Bhakkar, continuing to inspire students and advance mathematical research . His career reflects dedication to academic excellence, curriculum development, and mentorship, enriching the mathematics community .

Research Focus :

Fayyaz Ahmad’s research focuses on fixed point theory, nonlinear mappings, iterative approximation processes, and numerical analysis . His PhD work centers on developing novel iterative schemes to solve fixed point problems in complex distance spaces, with applications in various mathematical and real-world contexts . Fayyaz explores convergence properties and stability analyses of iterative methods, crucial for solving nonlinear functional equations and optimization challenges . His research extends to computational techniques and their applications in biofluid dynamics, fractional differential equations, and functional analysis . By integrating theoretical advancements with practical solutions, he aims to address problems in engineering, physics, and applied sciences . Collaborating with international researchers, Fayyaz is committed to pushing the boundaries of mathematical problem-solving methodologies .

Publication :

“On Fixed Point Convergence Results for a General Class of Nonlinear Mappings with a Supportive Application”

Authors: F. Ahmad, K. Ullah, J. Ahmad, O.M. Kalthum S.K. Mohamed, A. Bakery

Year: 2023

 

“On an Efficient Iterative Scheme for a Class of Generalized Nonexpansive Operators in Banach Spaces”

Authors: F. Ahmad, K. Ullah, J. Ahmad, H. Bilal

Year: 2023

 

“A Novel Iterative Process for Numerical Reckoning of Fixed Points via Generalized Nonlinear Mappings with Qualitative Study”

Authors: F. Ahmad, K. Ullah, J. Ahmad, H.A. Hammad, R. George

Year: 2024

 

“Computational Analysis of a Novel Iterative Scheme with an Application”

Authors: F. Ahmad, K. Ullah, J. Ahmad, A. Aloqaily, N.M. Mlaiki

Year: 2024

 

“Convergence Analysis of an Iteration Process for a Class of Generalized Nonexpansive Mappings with Application to Fractional Differential Equations”

Authors: K. Ullah, S.T.M. Thabet, A. Kamal, J. Ahmad, F. Ahmad

Year: 2023

 

“Approximating Fixed Points of Operators Satisfying the (Bγ,µ) Condition”

Authors: K. Ullah, M. Abbas, J. Ahmad, F. Ahmad

Year: 2024

 

“Approximation Results for Generalized Non-Expansive Mappings and Their Applications in Various Nonlinear Problems”

Authors: F. Ahmad, J.K. Kim, K. Ullah, J. Ahmad

Year: Accepted for publication in 2025

 

Conclusion

Fayyaz Ahmad’s dedication to fixed-point theory and numerical analysis, along with a solid publication record, makes him a strong contender for the Best Researcher Award. His work showcases both theoretical depth and practical relevance. While further diversification and outreach could enhance his research footprint, his current achievements justify his nomination for this prestigious recognition.

 

Ali Reza Keivanimehr | AI in healthcare | Best Researcher Award

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Mr.Ali Reza Keivanimehr | AI in healthcare
| Best Researcher Award

Mr.  Ali RezaKeivanimehr ,  Amirkabir University of Technology (Tehran’s Polytechnic), Iran.

Ali Reza Keivanimehr is an exceptional early-career researcher with a solid academic foundation, a promising research trajectory in machine learning applications for healthcare, and strong technical expertise. His combination of research, teaching, and technical projects highlights a well-rounded profile. His contributions, especially in the use of TinyML for cardiovascular diagnosis, are commendable and align with global health priorities.

Publication Profile

Google scholar

Education :

Master of Science in Information Technology Engineering – Internet of Things (IoT) (2022 – 2025)Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranRanked 403rd in QS World University Rankings 2024GPA: 3.53/4 (17.48/20) – 3rd highest in 2022 faculty entranceThesis: Applications of TinyML in Prediction and Diagnosis of Cardiovascular DiseasesSupervisor: Dr. Mohammad Akbari | Advisor: Dr. Abbas AhmadiBachelor of Science in Computer Engineering – Software Engineering (2018 – 2021)Imam Khomeini International University of Qazvin, Qazvin, IranProject: Designing a Software Interface for Industrial Machinery Maintenance

Experience :

Research Assistant (2022 – Present)
Data Science Lab (DSLab), Amirkabir University of Technology, Tehran, IranConducting research on TinyML and edge intelligence applications in cardiovascular disease prediction.Teaching Assistant — Machine Learning and Pattern Recognition (2024 – 2025)Amirkabir University of Technology, Tehran, IranAssisted in course instruction, project supervision, and student evaluations under Dr. Alireza Rezvanian.Teaching Assistant — Data Structure and Algorithms (2019 – 2020)
Imam Khomeini International University of Qazvin, Qazvin, IranSupported coursework delivery, assignments, and exam preparations under Morteza Mohammadi Zanjireh.

Research Focus :

Natural Language Processing (NLP)Graph Neural NetworksEdge IntelligenceExplainable Artificial Intelligence (XAI)Generative Adversarial Networks (GANs)Dr. Keivanimehr’s research centers on Tiny Machine Learning (TinyML) and edge intelligence, with a specific emphasis on their applications in cardiovascular disease monitoring. He explores the deployment of machine learning models on low-power, resource-limited devices to facilitate real-time analytics and pervasive monitoring for patients with cardiac anomalies.

Skills and Expertise:

As a research assistant, Dr. Keivanimehr has developed expertise in machine learning, classification, and supervised learning. His technical proficiency includes a focus on computational health and biomedical applications, particularly in the context of resource-constrained devices.Programming: PythonMachine Learning Frameworks: PyTorch, TensorFlowBig Data Tools: Apache SparkLanguages: TOEFL iBT (Score: 109 | Reading: 28 | Listening: 30 | Speaking: 26 | Writing: 25)

Awards:

 

48th Rank among 5000+ participants, National Entrance Exam for Master Studies in IT Engineering (2022)3rd Rank in IT Engineering Master’s cohort based on GPA (2022 – Present)Full Master’s Scholarship: Awarded for excellence in national entrance exams; covers tuition, dormitory, and partial food expenses (2022 – Present)Full Bachelor’s Scholarship: Granted for top performance in national entrance exams; included tuition, accommodation, and meal support (2018 – 2021)

 

Publication 

 

  • Keivanimehr, A., & Akbari, M. (2024). TinyML and Edge Intelligence Applications in Cardiovascular Disease: A Survey. Computers in Biology and Medicine. DOI: 10.1016/j.compbiomed.2025.109653

 

Conclusion

Ali Reza Keivanimehr is a suitable candidate for the Best Researcher Award. His strong academic record, impactful research, and consistent growth in machine learning and edge intelligence demonstrate his potential as a leading researcher in his field. With further international exposure and expanded publication efforts, he is poised to make significant contributions to both academia and industry.

 

Rispandi | Optical sensing technology | Best Researcher Award

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Mr.Rispandi | Optical sensing technology | Best Researcher Award

Mr.  Rispandi,Lecturer, Indonesia.

Mr. Rispandi is a promising researcher with a strong academic background, an innovative approach to sensor technology, and leadership experience. His contributions to optical gas sensors and related technologies, particularly for healthcare and environmental monitoring, are commendable. His publications and technical skills further strengthen his candidacy for the Best Researcher Award. However, expanding his collaborations and seeking funding for his projects could further enhance his impact in the field.

Publication Profile

Google scholar

orcid

scopus

Education :

Rispandi holds a Master of Science in Mechanical Engineering from Ming Chi University of Technology, New Taipei City, Taiwan, completed between February 2021 and December 2022. His master’s research focused on the Development of New Optical Gas Sensors Based on Perovskite Quantum Dots, with key research areas including optical sensors, gas sensors, 3D printing, optical metrology, and electrospun nanofibers. He achieved an impressive GPA of 4.17/4.3. Prior to this, he earned a Bachelor of Engineering in Mechanical Engineering from the University of Bengkulu, Indonesia (August 2015 – December 2019). His undergraduate research focused on the Manufacture, Assembly, and Experimental Test of Generator Stand on the Translational Motion–Rotation for Sea Wave Power Plants.

Experience :

Rispandi has accumulated extensive research and teaching experience in mechanical engineering, particularly in optical sensor technology. Since February 2021, he has worked as a Research Assistant at Ming Chi University of Technology, under the guidance of Prof. Cheng-Shane Chu. His research involves the development of ratiometric optical gas sensors, perovskite quantum dots, electrospun fiber-based sensors, and biomedical applications of gas detection. He has worked on various projects related to ammonia, oxygen, and nitric oxide sensors utilizing advanced optical and nanomaterial techniques.Additionally, he served as a Teaching Assistant in the Optical Metrology Lab at Ming Chi University of Technology from February 2021 to 2022. His role involved assisting with experiments related to electro-optic amplitude modulation, interferometry (Mach-Zehnder, Sagnac, and Michelson), diffraction, and optical grating techniques.Before pursuing his master’s degree, he worked as a Research Engineer at the University of Bengkulu (August 2019 – February 2020), where he contributed to the development of sea wave power plants, performing stress analysis using the finite element method (FEM) and conducting performance evaluations of wave energy conversion systems.

Research Focus :

Rispandi’s research focuses on optical gas sensing technologies, specifically the development of optical sensors using perovskite quantum dots and electrospun fibers. His work has applications in healthcare, biomedical diagnostics, environmental monitoring, and renewable energy systems. He specializes in optical fiber-based gas sensors, ratiometric detection methods, and materials engineering for sensor enhancement. His research has led to significant contributions in the detection of ammonia, oxygen, and nitric oxide gases using innovative optical approaches.

Skills and Expertise:

Rispandi has a strong background in mechanical design and simulation, with expertise in Autodesk Inventor, stress analysis, finite element method (FEM), and mechanical engineering analysis (MEH). He is proficient in optical fiber sensor technology, gas sensing techniques, optical measurement, and optical metrology. His technical skills extend to 3D printing, electrospinning, and advanced analytical methods. He also possesses strong competencies in problem-solving, leadership, communication, and strategic planning.

Awards:

Certificate of Appreciation as Governor of the Most Valuable Region in FORMMIT Awards, Taiwan (2023) for his leadership in student organizations.Awardee of the Master’s Program Scholarship at Ming Chi University of Technology, Taiwan (2021) for academic excellence.,Bidikmisi Scholarship Awardee from the Ministry of Education and Culture, Republic of Indonesia (2015), a competitive scholarship for outstanding students.

 

Publication :

  • Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano

    • Authors: AA Hakim, E Juanara, R Rispandi
    • Journal: Journal of Information System Exploration and Research 1 (2)
    • Citations: 15
    • Year: 2023

 

  • Optical dual gas sensor for simultaneous detection of nitric oxide and oxygen

    • Authors: R Mesin, CS Chu
    • Journal: Chemosensors 11 (8), 454
    • Citations: 10
    • Year: 2023

 

  • Optical fluorescent sensor based on perovskite QDs for nitric oxide gas detection

    • Authors: D Kumar, R Mesin, CS Chu
    • Journal: Applied Optics 62 (12), 3176-3181
    • Citations: 10
    • Year: 2023

 

  • Ratiometric optical oxygen sensor based on perovskite quantum dots and Rh110 embedded in an ethyl cellulose matrix

    • Authors: R Mesin, CS Chu, ZL Tseng
    • Journal: Optical Materials Express 13 (4), 945-955
    • Citations: 9
    • Year: 2023

 

  • Finite element method for stress analysis in the frame holder of generator translation and rotation motion on vertical direction mechanism for sea wave power plant

    • Authors: Y Suhartini, A Indriani
    • Journal: IOP Conference Series: Materials Science and Engineering 1034 (1), 012008
    • Citations: 7
    • Year: 2021

 

  • Performance of Generator Translation and Rotation Motion on Vertical Direction for Sea Wave Power Plant

    • Authors: A Indriani, Y Suhartini
    • Journal: IOP Conference Series: Materials Science and Engineering 1007 (1), 012044
    • Citations: 4
    • Year: 2020

 

  • Analisis tegangan pada struktur mesin pencacah plastik menggunakan metode elemen hingga (MEH) dan uji kerja mesin pencacah plastik

    • Authors: H Hendra, A Indriani, A Mardian, N Kholik, R Rispandi, Y Suhartini
    • Journal: METAL: Jurnal Sistem Mekanik dan Termal 5 (1), 9-16
    • Citations: 3
    • Year: 2021

 

  • Stress analysis on the frame holder of generator translation motion on horizontal direction for sea wave power plant using finite element method (FEM)

    • Authors: A Indriani, S Yenni, W Aswata, A Tanjung
    • Journal: IOP Conference Series: Materials Science and Engineering 909 (1), 012033
    • Citations: 2
    • Year: 2020

 

  • Optical dual gas sensor for biomedical monitoring of NO and O2 based on electrospun fibers containing CsPbBr3 QDs and PtTFPP

    • Authors: CS Chu, S Nugroho, MI Ammarullah
    • Journal: Results in Optics 18, 100781
    • Citations: 1
    • Year: 2025

 

  • Enhanced sensing properties of optical ammonia sensor based on electrospun fibers containing Eosin-Y and silver nanoparticles

  • Authors: CS Chu, MS Simanjuntak
  • Journal: Materials Today Communications 41, 110524
  • Citations: 1
  • Year: 2024

 

 

Conclusion

Mr. Rispandi is highly deserving of the Best Researcher Award due to his dedication, academic excellence, and substantial contributions to the development of cutting-edge sensor technologies. With some additional focus on interdisciplinary research and funding acquisition, he has the potential to make even greater strides in his field. His future endeavors are poised to have a lasting impact on both scientific communities and industry applications.