Chen Wai Wong | Biotechnology | Best Researcher Award

Assoc. Prof. Dr. Chen Wai Wong | Biotechnology | Best Researcher Award

Lecturer, UCSI University Malaysia

Dr. Wong Chen Wai is an Associate Professor at the Faculty of Applied Sciences, UCSI University, Malaysia. With a background in Biotechnology, he specializes in enzyme and food biotechnology, teaching subjects related to biochemistry, biotechnology, and biosensors. He has made significant contributions to both academia and industry through research and teaching. He has supervised numerous Ph.D. and MSc students, leading various cutting-edge research projects. šŸŒ±šŸ‘Øā€šŸ«

Publication Profile

Scopus

Orcid

Scholar

šŸŽ“ Education

Dr. Wong holds a Postgraduate Diploma in Tertiary Teaching (2021), a Ph.D. in Enzyme and Food Biotechnology (2009), and a Bachelor of Science in Biotechnology (2001), all from esteemed Malaysian institutions. His academic journey has honed his expertise in biotechnology and applied sciences.

šŸ’¼ Experience

Dr. Wong has held key academic positions at UCSI University, including Associate Professor (2019–present) and Head of Biotechnology (2019–2022). He has also worked as an Application Chemist and Engineer in the industry before pursuing his academic career. His teaching spans various subjects in biotechnology, and he has supervised many graduate and postgraduate students.

šŸ† Awards & Honors

Dr. Wong’s achievements include recognition for excellence in research and teaching, with a strong focus on biotechnological innovations. He has been awarded various fellowships and honors for his contributions to education and research.

šŸ”¬ Research Focus

Dr. Wong’s research focuses on the development of bioplastics, biofuels, enzyme technology, and the use of natural extracts in biotechnology. His current research includes the sustainable use of agricultural waste and biorefinery technologies.

Conclusion

Dr. Wong’s distinguished academic and research career, marked by his leadership in biotechnology and contributions to sustainable biotechnological solutions, makes him highly deserving of the Best Researcher Award. While opportunities for expanding his interdisciplinary collaborations exist, his current body of work and mentorship in shaping future leaders in biotechnology makes him a standout researcher in his field.

Publication Top Notes

  • Title: Effect of enzymatic processing, inlet temperature, and maltodextrin concentration on the rheological and physicochemical properties of spray‐dried banana (Musa acuminata) powder
    Year: 2018
    Authors: CW Wong, CY Teoh, CE Putri
    Citation: Journal of Food Processing and Preservation, 18

 

  • Title: Inhibitory effect of Malaysian coastal plants on banana (Musa acuminata Colla ā€œLakatanā€), ginger (Zingiber officinale Roscoe), and sweet potato (Ipomoea batatas) polyphenol oxidase
    Year: 2021
    Authors: WY Lim, YW Cheng, LB Lian, EWC Chan, CW Wong
    Citation: Journal of Food Science and Technology, 58, 4178-4184

 

  • Title: Ceiba pentandra (L.) Gaertn.: An overview of its botany, uses, reproductive biology, pharmacological properties, and industrial potentials
    Year: 2022
    Authors: EWC Chan, SW Yeong, CW Wong, OYM Soo, ACY Phua, YK Ng
    Citation: Journal of Applied Biology and Biotechnology, 10(20), 1-7

 

  • Title: Inhibitory Effect of Onion Extract on Cassava Leaf (Manihot esculenta Crantz) Polyphenol Oxidase
    Year: 2014
    Authors: CW Wong, PLA Lee
    Citation: International Food Research Journal, 21(2), 755-758

 

  • Title: Hydrophobic bioactive constituents of cinnamon bark as inhibitors of polyphenol oxidase from Musa acuminata ā€˜Mas’ peel
    Year: 2022
    Authors: ZZ Siew, EWC Chan, CW Wong
    Citation: Biocatalysis and Agricultural Biotechnology, 45, 102504

 

  • Title: Effects of inlet temperature and carrier concentration on spray-dried ā€˜cempedak’ (Artocarpus integer) fruit powder and its reconstitution properties
    Year: 2021
    Authors: LP Pui, R Karim, YA Yusof, CW Wong, HM Ghazali
    Citation: Acta Scientiarum Polonorum, Technologia Alimentaria, 20(2), 135-148

 

  • Title: Tyrosinase inhibiting extracts from coastal plants as potential additives in skin whitening formulations
    Year: 2021
    Authors: WY Lim, EWC Chan, CW Phan, CW Wong
    Citation: Current Applied Science and Technology, 21, 481-494

 

  • Title: Role of scutellarin in human cancer—A review
    Year: 2019
    Authors: EWC Chan, CSS Lim, WY Lim, ZJ Loong, CW Wong
    Citation: Journal of Applied Pharmaceutical Science, 9(1), 142-146

 

  • Title: Deep eutectic solvents for batteries and fuel cells: biosubstitution, advantages, challenges, and future directions
    Year: 2023
    Authors: Y Hariyanto, YK Ng, ZZ Siew, CY Soon, AC Fisher, L Kloyer, CW Wong, et al.
    Citation: Energy & Fuels, 37(23), 18395-18407

 

  • Title: Pomolic acid: A short review on its chemistry, plant sources, pharmacological properties, and patents
    Year: 2023
    Authors: EWC Chan, YK Ng, CSS Lim, VS Anggraeni, ZZ Siew, CW Wong, et al.
    Citation: Journal of Applied Pharmaceutical Science, 13(5), 058-065

 

  • Title: Anti-quorum sensing and antibiotic enhancement of allylpyrocatechol and methyl gallate
    Year: 2021
    Authors: CSS Lim, EWC Chan, CW Wong, JBL Tan, VS Anggraeni, ZJ Loong, et al.
    Citation: Jurnal Teknologi, 83(3), 101-106

 

  • Title: Thermostable Deep Eutectic Solvents for Thermochemical Reactions: Novel Stability Indicators
    Year: 2024
    Authors: Y Hariyanto, CW Wong, AC Fisher, L Kloyer, EWC Chan
    Citation: ACS Sustainable Chemistry & Engineering, 12(17), 6774-6785

 

  • Title: Swelling behavior and methylene blue absorption of carboxymethyl cellulose hydrogels prepared from Malaysian agricultural wastes by electron beam irradiation
    Year: 2020
    Authors: EWC Chan, CMY Huang, P CHIA, CSS Lim, ZJ Loong, M Talib, CW Wong, et al.
    Citation: Cell Chem Technol, 54(5-6), 421-428

 

Chanchal Choudhary | Developmenal Biology | Best Researcher Award

Ms. Chanchal Choudhary | Developmenal Biology | Best Researcher Award

PhD Scholar, Jawaharlal Nehru University, IndiaĀ 

Chanchal Choudhary is a passionate PhD graduate specializing in molecular and developmental biology. With extensive experience in researching cellular processes, she has contributed to high-impact research on Translationally-Controlled Tumor Proteins (TCTP) and their role in Dictyostelium discoideum. Chanchal has presented her findings at international conferences and co-authored multiple peer-reviewed publications. A recipient of several academic honors, she is dedicated to advancing scientific understanding in the field of developmental biology and molecular mechanisms, aiming to contribute to breakthroughs in health sciences. 🌱🧬

Publication Profile

Orcid

šŸŽ“ Education

Ph.D. in Life Sciences (Developmental Biology), Jawaharlal Nehru University, New Delhi (2018-2024)Ā  Research focused on the role of TCTP2 in Dictyostelium discoideum.. M.Sc. in Zoology, Hindu College, University of Delhi (2016–2018) . Specialized in Genomics, Metagenomics, and Epigenetics. B.Sc. (Honors) in Zoology, Acharya Narendra Dev College, University of Delhi (2013–2016)Ā  Graduated with First Division and focused on biological sciences.

šŸ’¼ Experience

Junior Research Fellow (CSIR), Jawaharlal Nehru University, New Delhi (2018–2020) . Senior Research Fellow (CSIR), Jawaharlal Nehru University, New Delhi (2020–2023) . Dissertation, University of Delhi (2018) on mitochondrial dysfunction in ALS.Ā Innovation Project, Acharya Narendra Dev College (2015–2016), on microbial biodegradation.

šŸ† Awards & Honors

CSIR-UGC Junior Research Fellowship (NET), December 2017. Project Assistance Fellowship, University of Delhi (2015–2016). 20th National Children’s Science Congress Presentation, Banaras Hindu University (2012). State-Level Science Model Presentation, 2010

šŸ”¬ Research Focus

Chanchal’s research delves into developmental biology, focusing on Translationally-Controlled Tumor Proteins (TCTP) in Dictyostelium discoideum, studying their involvement in cell growth, development, and autophagy regulation. Her work aims to advance understanding of cellular processes and their implications in cancer therapy. šŸ§¬šŸ’”

Conclusion

Chanchal Choudhary exhibits the qualities of a highly capable and dedicated researcher. Her technical skills, significant contributions to understanding TCTP2’s role in cell biology, and active engagement in academic forums position her as a leading figure in her field. By enhancing the clinical relevance of her research and expanding her collaborative networks, she will undoubtedly continue to make groundbreaking contributions to developmental biology. Chanchal is highly deserving of the Best Researcher Award, as her work shows immense promise for furthering scientific knowledge and advancing innovations in health and medicine.

Publication Top Notes

  • Choudhary, C., & Saran, S. (2024). In silico analysis of translationally-controlled tumor proteins of social amoeba Dictyostelium discoideum. Biospectra, 19(1), 25–32. ISSN: 0973-7057. DOI: 10.5281/zenodo.14062730.

 

  • Choudhary, C., Jain, B., & Saran, S. (2024). Analyzing the functions of translationally controlled tumor protein 2 during growth, development, and autophagy of Dictyostelium discoideum. Experimental Cell Research. DOI: 10.1016/j.yexcr.2024.114400.

 

Ensiyeh Jenabi | Medicine| Best Researcher Award

Assist. Prof. Dr. Ensiyeh Jenabi | Medicine| Best Researcher Award

Assistant Professor, Hamadan University of Medical Sciences, Iran

Ensiyeh Jenabi is an Iranian researcher and academic in midwifery, specializing in reproductive health. With a B.Sc. and M.Sc. in Midwifery from Hamadan and Tabriz Universities, respectively, she earned her Ph.D. in Reproductive Health from Hamadan University of Medical Sciences. Dr. Jenabi currently serves as a faculty member, teaching research methods and menopause courses at both MSc and PhD levels since 2017. She is an active member of the Autism Spectrum Disorders Research Center and the Mother and Child Care Research Center at Hamadan University of Medical Sciences, contributing to advancements in women’s health. šŸŒšŸ’”

Publication Profile

Google Scholar

šŸŽ“ Education

B.Sc. in Midwifery, Hamadan University of Medical Sciences šŸ‡®šŸ‡·. M.Sc. in Midwifery, Tabriz University of Medical Sciences šŸ‡®šŸ‡·. Ph.D. in Reproductive Health, Hamadan University of Medical Sciences

šŸ’¼ Experience

Faculty Member, Hamadan University of Medical Sciences, since 2017 . Researcher, Autism Spectrum Disorders Research Center, since 2018.Ā  Researcher, Mother and Child Care Research Center, since 2018 . Member, Research in Education Committee at EDC, Hamadan University, since 2018 .

šŸ† Awards & Honors

Recognized for outstanding research contributions in reproductive health.Ā  Awarded various academic grants for research on women’s health.Ā  Honored as a prominent reviewer for prestigious health journals .

šŸ”¬ Research Focus

Dr. Jenabi’s research primarily focuses on reproductive health, menopause, maternal and child care, and autism spectrum disorders. She is dedicated to advancing evidence-based practices in midwifery and women’s health through her ongoing studies and collaborations.

Conclusion

Ensiyeh Jenabi stands out as an accomplished researcher in reproductive health, making substantial contributions to both teaching and research at the Hamadan University of Medical Sciences. Her work in the domains of maternal health, menopausal care, and autism spectrum disorders shows her dedication to improving public health. With continued efforts to expand her research network and collaboration, she is poised to make even greater strides in her field, making her a strong contender for the Best Researcher Award.

Publication Top Notes

  • Factors associated with in-hospital death in patients with nosocomial infections: a registry-based study using community data in western Iran
    • Year: 2020
    • Authors: S Khazaei, E Ayubi, E Jenabi, S Bashirian, M Shojaeian, L Tapak
    • Citation: 11
  • Placenta previa after prior abortion: a meta-analysis
    • Year: 2017
    • Authors: M Karami, E Jenabi
    • Citation: 11
  • The association between hot flushes and smoking in midlife women: a meta-analysis
    • Year: 2015
    • Authors: E Jenabi, J Poorolajal
    • Citation: 11
  • The environmental risk factors associated with ectopic pregnancy: An umbrella review
    • Year: 2023
    • Authors: E Jenabi, E Ayubi, S Khazaei, AR Soltanian, AM Salehi
    • Citation: 9
  • COVID-19 prevention behaviors among health staff: data from a large survey in the west of Iran
    • Year: 2021
    • Authors: S Bashirian, S Khazaei, M Barati, E Jenabi, AR Soltanian, S Shirahmadi, …
    • Citation: 9
  • Etiology and outcome of burns in Hamadan, Iran: a registry-based study
    • Year: 2019
    • Authors: S Khazaei, F Shirani, M Afshari, E Jenabi, Z Hamzei, M Torabi, T Bathaei
    • Citation: 9
  • Maternal Smoking and the Risk of Placenta Accreta Spectrum: A Systematic Review and Meta‐Analysis
    • Year: 2022
    • Authors: E Jenabi, AM Salehi, SZ Masoumi, A Maleki
    • Citation: 8
  • Reinforcement and Maintenance of Human Resources for Health Systems during Long‐Term Crises: A Systematic Review of Systematic Reviews
    • Year: 2021
    • Authors: AM Salehi, S Khazaei, M Masumi, F Shavandi, M Kavand, E Jenabi, …
    • Citation: 8
  • Assessment of mask-wearing adherence and social distancing compliance in public passengers in Hamadan, Iran, during the COVID-19 pandemic
    • Year: 2021
    • Authors: AR Soltanian, T Omidi, S Khazaei, S Bashirian, R Heidarimoghadam, …
    • Citation: 8
  • Effect of Vitamin E on Reduction of Muscle Pain in Students with Premenstrual Syndrome
    • Year: 2014
    • Authors: F Shabiri, E Jenabi
    • Citation: 8

 

 

Sahar Heidari | Landscape Ecology| Women Researcher Award

Dr. Sahar Heidari | Landscape Ecology| Women Researcher Award

Researcher, Iranian Forest and Rangeland Research Institute, Iran

Sahar Heidari Masteali is a distinguished environmental engineer and researcher specializing in natural resources and environmental evaluation. Born in 1987, she earned her Bachelor’s, Master’s, and PhD degrees in Natural Resources Engineering from Ferdowsi University of Mashhad and University of Tehran, Iran. With a passion for environmental sustainability, Sahar has contributed significantly to research in landscape evaluation, water quality, and biodiversity. She has authored numerous scientific articles published in prestigious journals and participated in various research projects. Sahar is recognized for her expertise in software tools such as ArcGIS, SPSS, and R. She is also an active member of the National Elite Foundation and a winner of multiple awards, including the Shahid Tehrani Moghadam Award in 2023.

Publication Profile

Google Scholar

šŸŽ“ Education

PhD: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2022). Master’s: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2014). Bachelor’s: Environmental Natural Resources Engineering, Ferdowsi University of Mashhad, Iran (2009) Sahar achieved outstanding academic success, ranking first in national exams for both Master’s and PhD admissions. Her thesis work has focused on environmental modeling and landscape evaluation, contributing to her expertise in environmental sustainability.

šŸ’¼ Experience

Sahar’s experience includes key research roles in various environmental projects. She has worked on ecological vulnerability assessments, environmental degradation models, and biodiversity studies. She collaborated with the University of Tehran and other research institutes on projects focused on forest management, ecological restoration, and the effects of tourism on ecosystems. Sahar’s proficiency with GIS, statistical analysis, and modeling software has enabled her to contribute to impactful projects in environmental protection and sustainable resource management.

šŸ† Awards & Honors

Shahid Tehrani Moghadam Award (2023) from the National Elite Foundation. Master’s Entrance Exam Rank 1. PhD Specialized Exam Rank 1. Winner of various academic honors, including a research excellence award in 2015 and funding for numerous research projects. Member of the National Elite Foundation Sahar’s academic excellence and contributions to environmental research have earned her recognition, including prestigious national awards and honors in the field of environmental sciences.

šŸ”¬ Research Focus

Sahar’s research interests lie in environmental evaluation, modeling the effects of landscape corridors on water quality, and biodiversity in natural forests. She has studied the impact of forest connectivity on river water quality and has developed models for assessing ecological vulnerability. Sahar also explores the intersection of biotic and abiotic factors in forest ecosystems, applying machine learning for biodiversity assessments. Her work aims to improve sustainable land use practices and ecological conservation, focusing on landscapes in the Caspian Sea Basin and northern Iran.

Conclusion

Sahar Heidari Masteali is a highly deserving candidate for the Women Researcher Award due to her significant contributions to environmental research and her leadership in sustainable solutions. With her continued growth in international collaboration and research visibility, she is poised to make an even more profound impact in her field. The award would not only recognize her exceptional achievements but also encourage the further development of her valuable contributions to environmental sciences.

Publication Top Notes

  • Title: Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
    Authors: M Bayat, P Bettinger, S Heidari, A Henareh Khalyani, M Jourgholami, …
    Journal: Forests
    Volume & Issue: 11 (3), 324
    Year: 2020

 

  • Title: Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear regression, and empirical models
    Authors: M Bayat, P Bettinger, M Hassani, S Heidari
    Journal: Forestry: An International Journal of Forest Research
    Volume & Issue: 94 (4), 598-609
    Year: 2021

 

  • Title: A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests
    Authors: M Bayat, P Bettinger, S Heidari, SK Hamidi, A Jaafari
    Journal: Forests
    Volume & Issue: 12 (11), 1450
    Year: 2021

 

  • Title: Assessing biotic and abiotic effects on biodiversity index using machine learning
    Authors: M Bayat, H Burkhart, M Namiranian, SK Hamidi, S Heidari, M Hassani
    Journal: Forests
    Volume & Issue: 12 (4), 461
    Year: 2021
  • Title: Evaluation and comparison of biodiversity indexes of tree species in Hyrcanian forests (case study: Kheyroud, Ramsar and Neka forests)
    Authors: S Heidari Masteali
    Journal: Journal of Plant Research (Iranian Journal of Biology)
    Volume & Issue: 34 (2), 315-326
    Year: 2021

 

  • Title: Modeling tree growth responses to climate change: a case study in natural deciduous mountain forests
    Authors: M Bayat, T Knoke, S Heidari, SK Hamidi, H Burkhart, A Jaafari
    Journal: Forests
    Volume & Issue: 13 (11), 1816
    Year: 2022

 

  • Title: Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin
    Authors: Sahar Heidari, Pete Bettinger, Mahmoud Bayat, Bahman Jabbarian
    Journal: Journal of Environmental Management
    Volume & Issue: 328
    Year: 2023

 

  • Title: Projection matrix models: a suitable approach for predicting sustainable growth in uneven-aged and mixed Hyrcanian forests
    Authors: A Salehnasab, HE Burkhart, M Bayat, B Khaleghi, S Heidari, …
    Journal: Sustainability
    Volume & Issue: 14 (11), 6777
    Year: 2022

 

  • Title: Investigating the spatial distribution of parks and urban green space areas in Khomein using landscape approach and Sentinel-2 satellite images
    Authors: M Bagheri, A Ansari, A Kazemi, M Bayat, S Heidari Masteali
    Journal: Scientific-Research Quarterly of Geographical Data (SEPEHR)
    Volume & Issue: 30 (118), 203-216
    Year: 2021

 

  • Title: Effects of different concentrations of nitrate and ammonium in medium on growth of the green algae Scenedesmus quadricauda
    Authors: S Heidari, O Farhadian, NM Soofiani
    Journal: Journal of Fisheries
    Volume & Issue: 64 (1)
    Year: 2011

 

  • Title: Recreation potential assessment at Tamarix forest reserves: A method based on multicriteria evaluation approach and landscape metrics
    Authors: M Bayat, P Bettinger, SH Masteali, SK Hamidi, HU Masood Awan, …
    Journal: Forests
    Volume & Issue: 14 (4), 705
    Year: 2023

 

  • Title: Ten-year estimation of Fagus orientalis Lipsky increment using artificial neural networks model and multiple linear regression Ramsar forests
    Authors: M Bayat, M Hassani, S Heidari
    Journal: Forest Research and Development
    Volume & Issue: 6 (3), 381-394
    Year: 2020

 

  • Title: Investigating structure monitoring indicators for wooden species of Northern forests of Iran
    Authors: S Babaie, M Bayat, M Namiranian, S Heidari Masteali
    Journal: Journal of Wood and Forest Science and Technology
    Volume & Issue: 25 (2), 65-80
    Year: 2018

 

 

 

 

Azam Modares | Supply chain | Best Faculty Award

Dr. Azam Modares | Supply chain | Best Faculty Award

Management, Ferdowsi university of Mashhad Iran

Azam Modares is an accomplished industrial management expert with a Ph.D. in Industrial Management from Ferdowsi University of Mashhad. Specializing in Operations Research, he has developed a deep understanding of mathematical modeling, system dynamics, and supply chain management. Modares is known for his extensive expertise in areas like machine learning, inventory control, and human reliability. He is also proficient in multiple modeling languages and software tools, including UML, BPMN, Matlab, and Arena. With a passion for teaching, Modares has contributed significantly to academic development, teaching numerous courses related to industrial management, operations research, and project management.

Publication Profile

Scopus

Google Scholar

šŸŽ“ Education

Ph.D. in Industrial Management – Ferdowsi University of Mashhad (Specialization: Operations Research). Master’s in Industrial Management – University of Guilan (Specialization: Production). Bachelor’s in Industrial Management – University of Tehran His academic journey reflects a profound commitment to research and practical application in the field of industrial management, with particular focus on optimizing operations and systems using mathematical and computational methods.

šŸ’¼ Experience

Azam Modares has an extensive career in both academia and industry. He has taught various courses in industrial management, operations research, and business process management at the undergraduate level. His work also spans the design and implementation of quantitative models and the application of machine learning to solve complex industrial problems. Modares has worked in the development of rule-based inference systems and the analysis of supply chain dynamics. He is proficient in using software like GAMS, Lingo, and SPSS for modeling and statistical analysis.

šŸ† Awards & Honors

Modares has received several prestigious awards, including the Best Paper Award in Operations Research, Research Excellence Award for outstanding contributions in academic research, and Best Educator awards for his exceptional teaching in industrial management. He also earned recognition for his leadership in project management and excellence in quantitative modeling and simulation. His accomplishments highlight his deep impact on both academic and practical advancements in industrial management.

šŸ”¬ Research Focus

Azam Modares’s research primarily focuses on system dynamics, inventory control, machine learning applications in industrial settings, and equipment and human reliability. He explores business process management and aims to optimize supply chain systems through mathematical and computational modeling. His work addresses real-world industrial challenges, particularly in the design of efficient decision-making systems and the integration of AI technologies into operations research. Modares also investigates rule-based inference systems to improve management processes.

Conclusion

Azam Modares exhibits a well-rounded profile that highlights significant strengths in teaching, technical skills, and research. His robust academic qualifications, coupled with a comprehensive understanding of industrial management and operations research, position him as a strong candidate for the Best Faculty Award. However, improving his research output and enhancing international collaborations could further elevate his standing in the academic community and broaden the impact of his work.

Publication Top Notes

  • Title: A new supply chain design to solve supplier selection based on internet of things and delivery reliability
    Authors: A Modares, M Kazemi, VB Emroozi, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (11), 7993-8028
    Year: 2023

 

  • Title: A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (5), 3075-3106
    Year: 2023

 

  • Title: A new model to design the suppliers portfolio in newsvendor problem based on product reliability
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (6), 4112-4151
    Year: 2023

 

  • Title: Selecting green suppliers by considering the internet of things and CMCDM approach
    Authors: V Bafandegan Emroozi, P Roozkhosh, A Modares, F Roozkhosh
    Journal: Process Integration and Optimization for Sustainability
    Volume & Issue: 7 (5), 1167-1189
    Year: 2023

 

  • Title: Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making
    Authors: A Modares, N Motahari, V Bafandegan Emroozi
    Journal: Industrial Management Journal
    Volume & Issue: 14 (1), 115-142
    Year: 2022

 

  • Title: Application of particle swarm optimization algorithm to aggregate production planning
    Authors: M Ramazanian, A Modares
    Journal: Asian Journal of Business Management Studies
    Volume & Issue: 2 (2), 44-54
    Year: 2011

 

  • Title: A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty
    Authors: A Modares, NM Farimani, F Dehghanian
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (1), 188-220
    Year: 2024

 

  • Title: Evaluate and control the factors affecting the equipment reliability with the approach Dynamic systems simulation, Case study: Ghaen Cement Factory
    Authors: A Modares, V Bafandegan Emroozi, Z Mohemmi
    Journal: Journal of Quality Engineering and Management
    Volume & Issue: 11 (2), 89-106
    Year: 2021

 

  • Title: A new dynamic model to optimize the reliability of the series-parallel systems under warm standby components
    Authors: AMF Saghih, A Modares
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (1), 376-401
    Year: 2022

 

  • Title: Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran)
    Authors: A Modares, N Motahari Farimani, V Bafandegan Emroozi
    Journal: Journal of Optimization in Industrial Engineering
    Volume & Issue: 16 (1), 129-140
    Year: 2023

 

  • Title: A new model to optimize the human reliability based on CREAM and group decision making
    Authors: V Bafandegan Emroozi, A Modares, P Roozkhosh
    Journal: Quality and Reliability Engineering International
    Volume & Issue: 40 (2), 1079-1109
    Year: 2024

 

  • Title: Improving quality and reducing costs in supply chain: The developing VIKOR method and optimization
    Authors: VB Emroozi, M Kazemi, A Modares, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (2), 494-524
    Year: 2024

 

 

 

 

 

 

 

 

 

Nidhi Sinha | Cognitive Psychology | Young Scientist Award

Ms. Nidhi Sinha | Cognitive Psychology | Young Scientist Award

PhD in Psychology, Indian Institute of Technology Hyderabad (IITH), India

Nidhi Sinha is a Cognitive Psychologist pursuing a Ph.D. at IIT Hyderabad, specializing in emotion perception using virtual reality and physiological measures. Her academic journey began with an M.Phil. in Psychology at IIT Hyderabad, where she earned the Institute Silver Medal. Nidhi has worked as a visiting research scholar and research volunteer, contributing to cognitive science projects at IIIT Hyderabad and the University of Hyderabad. She has extensive experience working on emotional perception, cognitive development, and mental health, with a focus on psychosis, emotion recognition, and VR applications. Nidhi’s research aims to explore the intersection of cognitive processes and mental health using innovative tools like VR and EDA. She has also contributed to various publications and conferences on mental health, attention networks, and cognitive biases.

Publication Profile

Google Scholar

šŸŽ“ Education

Nidhi Sinha holds a Ph.D. in Cognitive Psychology from IIT Hyderabad, where she conducted research on emotion perception using virtual reality and physiological measures. She also earned an M.Phil. in Psychology from IIT Hyderabad, securing an impressive CGPA of 9.75 and receiving the Institute Silver Medal. Nidhi’s journey in higher education began with a Master of Arts in Applied Psychology from Lovely Professional University (LPU), where she achieved a CGPA of 9.96 and was awarded the University Gold Medal. Her academic pursuits have revolved around cognitive sciences, emotion recognition, and mental health. Nidhi has also contributed to various research projects and gained hands-on experience through internships and collaborations with renowned institutions like the University of Hyderabad and IIIT Hyderabad. This strong academic foundation has paved the way for her innovative research and publications in the field of cognitive psychology.

šŸ’¼ Experience

Nidhi Sinha’s research and teaching experience spans multiple esteemed institutions. As a Ph.D. candidate at IIT Hyderabad, Nidhi has focused on emotion perception and attentional control, collaborating with leading scientists in the field. Her role as a visiting research scholar at IIIT Hyderabad’s Cognitive Science Lab allowed her to delve deeper into understanding the cognitive aspects of emotional processing. Nidhi’s experience also includes internships at the University of Hyderabad’s Center for Neural and Cognitive Sciences, where she honed her skills in experimental techniques like eye tracking. She has worked on projects involving mental health at ASHA Hospital and has contributed to clinical research at NIMHANS, where she provided Cognitive Behavioral Therapy (CBT). Additionally, Nidhi has volunteered for research projects in user engagement at IIT Hyderabad’s Department of Computer Science and has served as a teaching assistant, assisting in preparing lectures and academic assessments for postgraduate courses.

šŸ† Awards & Honors

Nidhi Sinha has earned numerous accolades for her outstanding academic achievements and contributions to research. She was awarded the Institute Silver Medal for her exceptional performance in M.Phil. Psychology at IIT Hyderabad. Nidhi also received the University Gold Medal during her Master’s in Applied Psychology at LPU, where she achieved the highest CGPA of 9.96. In recognition of her groundbreaking work, Nidhi was honored with the ā€œEarly Career Research Awardā€ from the Science and Engineering Research Board (SERB) in 2017. Her significant contributions to mental health research have earned her several opportunities to collaborate internationally. Nidhi’s research has been featured in prestigious journals, and she has presented her work at multiple conferences. Her dedication to advancing knowledge in cognitive psychology and mental health earned her recognition as an expert reviewer for various academic platforms, including APS, Psychosis, and IGI Publishers.

šŸ”¬ Research Focus

Nidhi Sinha’s research focuses on emotion perception, cognitive processes, and mental health, particularly within the realms of cognitive psychology and affective computing. Her Ph.D. research at IIT Hyderabad explores how virtual reality (VR) and physiological measures, such as electrodermal activity (EDA) and photoplethysmogram (PPG), can assess emotional responses in individuals. She is particularly interested in how attention networks are disrupted in mood disorders like depression and how these cognitive networks influence emotional regulation. Nidhi’s work has also extended to understanding the experiences of individuals with auditory verbal hallucinations (AVH), a common symptom in psychiatric conditions like schizophrenia. By using tools like VR, EDA, and eye tracking, Nidhi investigates how cognitive biases and attentional control mechanisms contribute to mental health disorders. Her research aims to innovate psychological assessments and improve mental healthcare by integrating modern technologies, such as VR, with traditional diagnostic tools. Nidhi has contributed to various interdisciplinary research projects, focusing on improving cognitive assessments in clinical settings.

šŸ“Conclusion

Nidhi Sinha’s strong academic and research credentials, coupled with her interdisciplinary approach and innovative contributions to cognitive psychology and technology, make her an excellent candidate for the Young Scientist Award. Her research has the potential to significantly impact the fields of mental health and emotion recognition, particularly in integrating virtual reality and physiological measures. With continued growth in interdisciplinary collaborations and global research visibility, she is poised to make even more significant contributions to the scientific community.

Publication Top Notes

  • Title: Stress and worry in the 2020 coronavirus pandemic: Relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey
    Authors: A Lieberoth, SY Lin, S Stƶckli, H Han, M Kowal, R Gelpi, S Chrona, et al.
    Journal: Royal Society Open Science
    Volume & Issue: 8 (2), 200589
    Year: 2021
  • Title: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
    Authors: Y Yamada, DB Ćepulić, T Coll-Martƭn, S Debove, G Gautreau, H Han, et al.
    Journal: Scientific Data
    Volume & Issue: 8 (1), 3
    Year: 2021
  • Title: Introducing gamification for advancing current mental healthcare and treatment practices
    Author: N Sinha
    Book Title: IoT in Healthcare and Ambient Assisted Living, 223-241
    Year: 2021
  • Title: What networks of attention are affected by depression? A meta-analysis of studies that used the attention network test
    Authors: N Sinha, S Arora, P Srivastava, RM Klein
    Journal: Journal of Affective Disorders Reports
    Volume & Issue: 8, 100302
    Year: 2022
  • Title: Affective computing and emotion-sensing technology for emotion recognition in mood disorders
    Author: N Sinha
    Book Title: Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing
    Year: 2021
  • Title: Understanding the effects of unemployment in Indian graduates: Psychological, financial and social perspectives
    Author: N Sinha
    Journal: Psychological Studies
    Volume: 63, 315-324
    Year: 2018
  • Title: Using virtual reality in college student mental health treatment
    Author: N Sinha
    Book Title: Current and Prospective Applications of Virtual Reality in Higher Education
    Year: 2021
  • Title: Living with voices: A thematic analysis of individuals’ experiences of voice-hearing in India
    Authors: N Sinha, S Ranganathan
    Journal: Psychosis
    Volume & Issue: 12 (2), 115-127
    Year: 2020
  • Title: Global Mental Health Movement: Need for a cultural perspective
    Author: N Sinha
    Journal: Indian Journal of Medical Ethics
    Year: 2023
  • Title: Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies
    Authors: N Sinha, P Srivastava, MP Ganesh
    Book Title: Affective Computing for Social Good: Enhancing Well-being, Empathy, and …
    Year: 2024
  • Title: Student Notebook: Beginning Your Collaborative Writing Journey
    Author: N Sinha
    Journal: APS Observer
    Volume: 36
    Year: 2023
  • Title: An evaluation on existential crisis of Filipinos during the COVID-19 pandemic crisis
    Authors: Y Yamada, DB Ćepulić, T Coll-Martƭn, S Debove, G Gautreau, H Han, et al.
    Journal: Frontiers in Psychology
    Year: 2021
  • Title: Political Cognition: The Unconscious Mechanisms Underlying Political Beliefs and Action
    Author: N Sinha
    Book Title: The Psychology of Political Behavior in a Time of Change, 235-246
    Year: 2021
  • Book Review: J. Bargh: Before You Know It: The Unconscious Reasons We Do What We Do
    Author: N Sinha
    Journal: Psychological Studies
    Volume & Issue: 65 (1), 97-99
    Year: 2020
  • Title: Women in the asylum: Understanding the medicalization and kinship in Indian psychiatric care
    Author: N Sinha
    Journal: Journal of Community & Applied Social Psychology
    Volume & Issue: 28 (5), 378-381
    Year: 2018
  • Title: Listening To The Voices: A Qualitative Study Of The Experiences Of Hearing Voices In Individuals With Auditory Hallucinations
    Authors: N Sinha, S Ranganathan
    Institution: Indian Institute of Technology Hyderabad
    Year: 2018

 

 

 

 

 

 

Nüveyre Canbolat | Inorganic | Best Researcher Award

Ms. Nüveyre Canbolat | Inorganic | Best Researcher Award

Research Assistance, Gazi Üniversity Turkey

Nuveyre Canbolat is a Research Assistant in Inorganic Chemistry at Gazi University, with expertise in both theoretical and synthetic chemistry. Her research spans various domains, from Quantum Chemistry to Biophysics, and she has developed an interest in computational chemistry and machine learning applications. In 2021, she founded RIASEARCH, a chemical software company, aiming to advance these areas. She was awarded a government scholarship in 2024 for her PhD in hydrogen and fuel cell research, building on her master’s thesis. With diverse experiences in industry and academia, she is committed to bridging the gap between theoretical research and practical applications.

Publication Profile

Orcid

šŸŽ“ Education

Nuveyre Canbolat holds an MSc in Chemistry from Bilkent University (2016-2018), with a thesis on the synthesis and characterization of silver phosphate as a photocatalyst. She earned a BS in Chemistry from the same university in 2016, graduating second in her class with a GPA of 3.79/4.00. During her academic journey, she also received financial support for research projects, including work on metal phosphates for energy storage and sulfonylureas as ALS enzyme inhibitors, under renowned professors at Bilkent.

šŸ’¼ Experience

Nuveyre Canbolat is the founder of RIASEARCH Chemical Software Company (2021-present), specializing in chemical software and algorithms. She has served as a Research and Teaching Assistant at Gazi University since 2018, teaching General Chemistry, Inorganic Chemistry, and Analytical Chemistry, while conducting research in the same areas. Previously, she worked as a Research Assistant at Bilkent University (2016-2018), where she focused on Quantum Chemistry and Inorganic Chemistry courses. Her summer internships included research at Greifswald University’s Department of Biophysics and TAI, Turkish Aerospace Industry, where she studied material properties.

šŸ† Awards & Honors

Nuveyre Canbolat has received various honors during her academic career, including a full government scholarship in 2024 to pursue PhD research on hydrogen and fuel cells. She ranked second in her graduating class at Bilkent University and received financial support for several research projects, including one from TUBITAK. Additionally, her research work, including the synthesis of metal phosphates and sulfonylureas, has been recognized at national and international conferences, with several published articles in peer-reviewed journals.

šŸ”¬ Research Focus

Nuveyre Canbolat’s research focuses on inorganic chemistry, computational chemistry, and machine learning applications. She has worked on the synthesis and characterization of metal phosphates for energy storage, photocatalysis, and hydrogen-related technologies. Her current research includes the development of sulfonylureas as ALS enzyme inhibitors and the exploration of hydrogen fuel cells. She also conducts molecular docking studies to understand enzyme inhibition and drug design. As a founder of RIASEARCH, she aims to integrate software development with chemical research for more effective simulations and solutions.

Conclusion

Nuveyre Canbolat is a highly skilled and promising researcher whose background in inorganic chemistry, machine learning, and computational applications positions him as a valuable contributor to the field. His innovative research, entrepreneurial efforts, and academic achievements make him an excellent candidate for the Best Researcher Award. With continued dedication to expanding his international collaborations and enhancing his research output, Canbolat is poised to become a leading figure in his field, driving forward advancements in both scientific discovery and applied technologies.

Publication Top Notes

Title: Sulfonyl hydrazone derivatives containing acetonaphthone as anticholinesterase inhibitors for the treatment of Alzheimer’s: X-ray single-crystal analysis, and multifaceted theoretical calculations
Journal: Journal of Molecular Structure
Publication Date: December 2024
DOI: 10.1016/j.molstruc.2024.139311
Contributors: Ümmühan Ɩzdemir Ɩzmen, Saliha Alyar, Esra Bilen Ayan, Nüveyre Canbolat, Fatma Hamurcu, Hamit Alyar, Sinan Mithat Muhammet, Kerem Kaya

 

 

Larisa Dunai | biotechnology | Best Researcher Award

Prof. Larisa Dunai | biotechnology | Best Researcher Award

Professor, Universitat PolitĆØcnica de ValĆØncia Spain

Prof. Larisa Dunai is a renowned academic at the Universitat Politècnica de València, specializing in graphical engineering. She has been a Professor Titular (Associate Professor) since 2006. Her academic journey began at the Universitatea Tehnică a Moldovei, where she earned degrees in Radioelectronics and Telecommunications. With a passion for advancing the field, Prof. Dunai has made significant contributions to education and research in engineering. Her work spans various aspects of graphical engineering, and she is an active member of IEEE. She has consistently engaged in academic leadership, focusing on innovative approaches in her field.

Publication Profile

Scopus

Orcid

Google Scholar

šŸŽ“ Education

Prof. Larisa Dunai holds a Doctorate in Graphic Engineering from the Universitat PolitĆØcnica de ValĆØncia (2010). She earned a Master’s degree in Radioelectronics and Telecommunications from the Universitatea Tehnică a Moldovei (2004), following her undergraduate degree in the same field (2003). Her academic foundations in telecommunications and graphic engineering have led to an exceptional career dedicated to teaching, research, and technological advancement in these domains.

šŸ’¼ Experience

Prof. Dunai has been a Professor Titular (Associate Professor) in the Department of Graphic Engineering at the Universitat PolitĆØcnica de ValĆØncia since 2006. Her expertise encompasses radioelectronics, telecommunications, and graphical engineering. She has made significant contributions through her research and teaching, focusing on innovative techniques in engineering design and graphic visualization. Prof. Dunai is also a prominent member of IEEE, contributing to the academic community and working to advance the field of engineering through education, publications, and professional involvement.

šŸ† Awards & Honors

Throughout her career, Prof. Larisa Dunai has been recognized for her excellence in teaching and research. She has received numerous academic awards and honors, including recognition for her contributions to the field of graphic engineering. As an active member of IEEE, she is respected for her leadership in the engineering community. Prof. Dunai’s dedication to education and research has had a lasting impact on her students and the broader scientific community.

šŸ”¬ Research Focus

Prof. Dunai’s research is centered on the integration of graphic engineering, telecommunications, and radioelectronics. She is particularly interested in the application of graphic techniques to solve complex engineering problems and enhance technological advancements. Her research explores innovative methods in graphical visualization, as well as the development of new systems and applications in telecommunications. Prof. Dunai’s work has been instrumental in advancing the practical application of engineering principles in various industries.

Conclusion

Professor Larisa Dunai is a highly accomplished and influential researcher whose expertise in engineering, particularly graphic engineering and telecommunications, positions her as a strong contender for the Best Researcher Award. Her academic achievements, professional experience, and involvement in global research networks make her an outstanding candidate. By expanding her collaborative efforts and enhancing her international profile, Professor Dunai has the potential to make even greater strides in her field, contributing to the advancement of technology and engineering on a global scale.

Publication Top Notes

  • Dispositivo de navegación para personas invidentes basado en la tecnologĆ­a time of flight
    • Year: 2013
    • Authors: I Lengua, L Dunai, G Peris FajarnĆ©s, B Defez
    • Citation: 21*
  • Automatic classification of winding asymmetries in wound rotor induction motors based on bicoherence and fuzzy C-means algorithms of stray flux signals
    • Year: 2021
    • Authors: MEI MartĆ­nez, JA Antonino-Daviu, PF de Córdoba, JA Conejero, L Dunai
    • Citation: 19
  • Virtual sound localization by blind people
    • Year: 2015
    • Authors: L Dunai, I Lengua, G Peris-FajarnĆ©s, F Brusola
    • Citation: 16
  • E-learning in industrial electronics during covid-19
    • Year: 2021
    • Authors: L Dunai, J Martins, K Umetani, O Lucia, Y Ibrahim, GK Appuhamillage
    • Citation: 15
  • Data fusion system for electric motors condition monitoring: an innovative solution
    • Year: 2023
    • Authors: RA Osornio-Rios, I Zamudio-RamĆ­rez, AY Jaen-Cuellar, J Antonino-Daviu, …
    • Citation: 13
  • Face detection and recognition application for Android
    • Year: 2015
    • Authors: M Chillaron, L Dunai, GP Fajarnes, IL Lengua
    • Citation: 13
  • Velocity vector (3D) measurement for spherical objects using an electro-optical device
    • Year: 2011
    • Authors: E Lluna, V Santiago, B Defez, L Dunai, G Peris-Fajarnes
    • Citation: 12
  • DiseƱo de un exoesqueleto de extremidades inferiores
    • Year: 2019
    • Authors: L Dunai, I Lengua, G Peris Fajarnes, B Defez Garcia
    • Citation: 10
  • Interaural time difference thresholds as a function of frequency
    • Year: 2013
    • Authors: WM Hartmann, L Dunai, T Qu
    • Citation: 10
  • Detection of uniform gearbox wear in induction motors based on the analysis of stray flux signals through statistical time-domain features and dimensionality reduction techniques
    • Year: 2022
    • Authors: I Zamudio-Ramirez, JJ Saucedo-Dorantes, J Antonino-Daviu, …
    • Citation: 9
  • Tracking of high-order stray-flux harmonics under starting for the detection of winding asymmetries in wound-rotor induction motors
    • Year: 2021
    • Authors: I Zamudio-Ramirez, JA Antonino-Daviu, RA Osornio-Rios, L Dunai
    • Citation: 9
  • Sound map generation for a prototype blind mobility system using multiple sensors
    • Year: 2008
    • Authors: NO Araque, L Dunai, F Rossetti, L Listi, M Mirmehdi, JLG Mora, …
    • Citation: 9
  • Stray flux analysis for the detection of rotor failures in wound rotor induction motors
    • Year: 2019
    • Authors: J Antonino-Daviu, I Zamudio-RamĆ­rez, RA Osornio-RĆ­os, V Fuster-Roig, …
    • Citation: 8
  • Electronic travel aid systems for visually impaired people
    • Year: 2011
    • Authors: L Dunai, G Peris Fajarnes, S Praderas
    • Citation: 8
  • Cognitive aid system for blind people (CASBliP)
    • Year: 2009
    • Authors: VS Praderas, N Ortigosa, L Dunai, GP Fajarnes
    • Citation: 8
  • Automatic Classification of Field Winding Faults in Synchronous Motors based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals
    • Year: 2023
    • Authors: MEI MartĆ­nez, JG Carmenate, J Antonino-Daviu, L Dunai, CA Platero, …
    • Citation: 7

 

Niko Nagengast| Sustainable Product (Systems) Engineering | Young Scientist Award

Mr. Niko Nagengast| Sustainable Product (Systems) Engineering | Young Scientist Award

Phd candidate, University Bayreuth, Germany

Niko David Nagengast is a Ph.D. candidate specializing in sports technology, complex systems engineering, and sustainable design. He is currently pursuing joint Ph.D. research at Deakin University and the University of Bayreuth, focusing on biomechanical optimization, sustainability, and additive manufacturing. Niko has a background in sports engineering and has gained practical experience through various research assistant roles, including material scaling and product development. He is passionate about creating functional, environmentally sustainable products and systems, applying his technical expertise to engineering, design, and social innovation. Niko is also an active participant in charitable events and initiatives supporting global communities.

Publication Profile

Scopus

Google Scholar

šŸŽ“ Education

Niko’s education includes a Bachelor of Sports Engineering from Otto-von-Guericke University, followed by a Master’s in Sports Technology at the University of Bayreuth. He is currently a Ph.D. candidate at both Deakin University and the University of Bayreuth. His studies emphasize complex system engineering, sustainable product design, and mechatronics. Niko has also participated in various specialized programs, such as a parametric design course in Madrid and model-based system engineering training.

šŸ’¼ Experience

Niko has a diverse professional background, including roles as a research assistant at multiple universities and in the technology sector. He has worked on projects related to sustainable product development, additive manufacturing, and biomechanics. His freelance work includes collaboration with companies like Headis GmbH and Aevolution. Niko has also contributed to product designs in various industries, including fitness equipment, material scaling, and sensor system development for chairs. Additionally, he has worked as a technical assistant for the Austrian Ski Association and supported the Austrian Alpine World Cup team.

šŸ† Awards & Honors

Niko has earned recognition for his work, including 2nd place in the Red Bull Basement innovation challenge and head organizing charity events raising significant funds for global causes. His contributions have extended to charity projects focused on disaster relief, such as a bicycle ride after an earthquake in Mozambique and resource acquisition efforts in Ecuador and Germany. Niko’s dedication to social responsibility complements his academic and professional pursuits.

šŸ”¬ Research Focus

Niko’s research focuses on sustainable engineering, additive manufacturing, and biomechanical optimization. He is developing algorithmic workflows for designing optimized hand ortheses, sustainable product design tools, and evaluating component recycling. His work also includes assessing mechatronic systems in sports technology and the environmental impact of products. Niko explores integrating parametric design principles to create functional and eco-friendly solutions, with an emphasis on material efficiency, system engineering, and sustainable development in sports-related applications.

Conclusion

Niko Nagengast is a promising young scientist whose academic and professional endeavors have already made meaningful contributions to sustainable product design, sports technology, and biomechanics. His innovative approach, combined with his strong technical skills and commitment to sustainability, makes him a strong candidate for the Young Scientist Award. By continuing to expand his interdisciplinary collaborations and engaging more with international research communities, Niko has the potential to become a leading figure in the fields of engineering and sustainable design.

Publication Top Notes

  1. A Combined Reverse Engineering and Multi-Criteria Decision-Making Approach for Remanufacturing a Classic Car Part
    • Year: 2023
    • Authors: AC Kyaw, N Nagengast, C Usma-Mansfield, FK Fuss
    • Citation: 11
  2. Thermo-mechanical recyclability of additively manufactured polypropylene and polylactic acid parts and polypropylene support structures
    • Year: 2023
    • Authors: N Nagengast, C Bay, F Dƶpper, HW Schmidt, C Neuber
    • Citation: 9
  3. A Review of Biomechanical and Physiological Effects of Using Poles in Sports
    • Year: 2023
    • Authors: M Saller, N Nagengast, M Frisch, FK Fuss
    • Citation: 6
  4. Design for sustainable additive manufacturing (DfsAM): preparation and validation of a transversely isotropic simulation model for FFF components made from virgin and recycled materials
    • Year: 2023
    • Authors: N Nagengast, T Scharl, M Frisch, C Neuber, H RuckdƤschel, HW Schmidt, …
    • Citation: 3
  5. Environmental Assessment of Recycled Petroleum and Bio-Based Additively Manufactured Parts via LCA
    • Year: 2022
    • Authors: C Bay, N Nagengast, HW Schmidt, F Dƶpper, C Neuber
    • Citation: 2
  6. Multi-Domain Assessment of Thermomechanical Recycling Based on Bio-Based and Petroleum-Based Additively Manufactured Components
    • Year: 2025
    • Authors: N Nagengast, N Mandel, C Bay, F Dƶpper, C Neuber, HW Schmidt, …
    • Citation: Not yet cited
  7. A Multi-Criteria Decision-Making Approach to Implement Renewable Energy System into Sport Facilities
    • Year: 2024
    • Authors: N Nagengast, C Usma-Mansfield, A Kopf, FK Fuss, W Schellong
    • Citation: Not yet cited
  8. A Product-Driven Sustainability Guideline–Methodological Conception and Implementation Based on a Lifestyle Sports Shoe
    • Year: 2024
    • Authors: N Nagengast, L Tapprich, FK Fuss
    • Citation: Not yet cited
  9. An Explorative Study on Sustainable Surfboard Technology: From State-of-the-Art Literature to Interdisciplinary Integration
    • Year: 2024
    • Authors: N Nagengast, C Usma-Mansfield, FK Fuss
    • Citation: Not yet cited
  10. Vibration Analysis of Various Wooden Ski Cores Using Laser Vibrometry
    • Year: 2024
    • Authors: M Frisch, N Nagengast, FK Fuss
    • Citation: Not yet cited
  11. Detection of Muscle Contractions Using Pressure Sensor Arrays
    • Year: 2024
    • Authors: T Scharl, N Nagengast, L Rheinheimer, K Schmitt, R Wegner, FK Fuss
    • Citation: Not yet cited

 

Ferdib Al Islam | Machine Learning | Excellence in Research

Mr. Ferdib Al Islam | Machine Learning | Excellence in Research

Assistant Professor, Northern University of Business and Technology Khulna Bangladesh

Ferdib-Al-Islam is an Assistant Professor at Northern University of Business and Technology Khulna, Bangladesh. He holds a Master’s and Bachelor’s degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET) and Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), respectively. His research expertise encompasses Machine Learning, Deep Learning, IoT, Data Science, and Computer Vision. Ferdib’s career includes experience as a software engineer in IoT R&D and lecturer roles, contributing significantly to academic and research pursuits.

Publication Profile

Google Scholar

šŸŽ“ Education

M.Sc. Eng. in Computer Science and Engineering from KUET (2023) – GPA: 3.50. B.Sc. Eng. in Computer Science and Engineering from BSMRSTU (2018) – GPA: 3.55. HSC in Science from Govt. PC College, Bagerhat (2012) – 5.00. SSC in Science from Bagerhat Govt. Secondary School (2010) – 5.00

šŸ’¼ Experience

Ferdib has progressed from an intern to a Senior Lecturer, and now an Assistant Professor at Northern University of Business and Technology Khulna. He served as a Lecturer in Computer Science and Engineering from March 2020 to January 2024. His career also includes a Jr. Software Engineer role at W3 Engineers Ltd. in the IoT R&D sector. Ferdib brings practical industry experience into his academic roles, fostering innovation and research.

šŸ† Awards & Honors

Ferdib has earned notable accolades, including the Gold Award at Semarak International Research Article Competition III 2024 for his work on Autism Spectrum Disorder detection. He also received the Best Paper Award at ICETIS 2021 for his research on Diabetes Mellitus prediction and the Honorable Mention Award at BDML 2020 for his IoT-based health monitoring tool.

šŸ”¬ Research Focus

Ferdib’s primary research interests are in Machine Learning, Deep Learning, IoT, Large Language Models, and Computer Vision. His work focuses on the application of AI techniques to healthcare, predictive modeling, and intelligent systems. His aim is to leverage machine learning for real-world applications like healthcare diagnostics, smart monitoring systems, and data-driven insights in various fields.

Conclusion

Ferdib Al-Islam is an exceptional researcher with notable accomplishments in machine learning, deep learning, and IoT. His commitment to advancing knowledge in these areas, demonstrated by his numerous awards and research contributions, marks him as a leading figure in his field. However, fostering greater interdisciplinary collaborations and increasing his global academic presence will be beneficial for his continued growth as a researcher. He is undoubtedly a deserving candidate for the Excellence in Research award, given his dedication, achievements, and potential for further contributions to the scientific community.

Publication Top Notes

  • Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam, MM Islam, MS Al-Rakhami, MR Haque
    • Citation: 73
  • An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters
    • Year: 2021
    • Authors: A Das, SD Katha, MS Sadi, Ferdib-Al-Islam
    • Citation: 31
  • Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, L Akter, MM Islam
    • Citation: 21
  • An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 20
  • Early Identification of Parkinson’s Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques
    • Year: 2020
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 19
  • Dementia Identification for Diagnosing Alzheimer’s Disease using XGBoost Algorithm
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 17
  • COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
    • Year: 2021
    • Authors: P Saha, MS Sadi, OFMRR Aranya, S Jahan, FA Islam
    • Citation: 9
  • Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning
    • Year: 2022
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 6*
  • Diabetes Mellitus Prediction and Feature Importance Score Finding Using Extreme Gradient Boosting
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 4
  • COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients
    • Year: 2022
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 3*
  • Breast Cancer Risk Prediction Using Different Clustering Techniques
    • Year: 2022
    • Authors: L Akter, M Raihan, M Raihan, M Sarker, M Ghosh, N Alvi, Ferdib-Al-Islam
    • Citation: 3
  • Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation
    • Year: 2023
    • Authors: MS Sanim, KM Hasan, MM Alam, MAA Walid, MR Islam
    • Citation: 2
  • Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier
    • Year: 2023
    • Authors: Ferdib-Al-Islam, MS Sanim, MR Islam, S Rahman, R Afzal, KM Hasan
    • Citation: 2*
  • An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan
    • Year: 2022
    • Authors: PC Shill
    • Citation: 2