Md. Humaun Kabir | Sign Language Recognition | Best Researcher Award

Mr. Md. Humaun Kabir | Sign Language Recognition | Best Researcher Award

Assistant Professor at Jamalpur Science & Technology University, Bangladesh

Md. Humaun Kabir is a dynamic academic and researcher in the field of Computer Science and Engineering, currently serving as an Assistant Professor and Chairman of the Department of Computer Science and Engineering at Jamalpur Science and Technology University (JSTU), Bangladesh. He also holds an administrative position as Additional Director of the ICT Cell at the same university. With over seven years of professional experience, he has contributed significantly to both academic instruction and applied research, focusing on emerging areas in computer science such as brainโ€“computer interfaces, biomedical engineering, signal and image processing, and artificial intelligence. His passion for innovation and leadership in academia has established him as a key figure in his field.

Publication Profileย 

Orcid

Google Scholar

Educational Background ๐ŸŽ“

Md. Kabir completed his M.Sc. Engineering in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, securing a CGPA of 3.88 out of 4.00 (exam held in 2017). He earned his B.Sc. Engineering from the same department and university in 2014 with a CGPA of 3.82 (exam held in 2015). Prior to university, he achieved excellent academic results in his secondary and higher secondary education, scoring a GPA of 5.00 in HSC from Police Lineโ€™s School and College, Kushtia, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga, under the Jashore Education Board. Notably, his department was renamed to Electrical and Electronic Engineering in 2018.

Professional Experience ๐Ÿ’ผ

Kabir began his academic career as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science and Technology in Bogura, where he served from May 2017 to February 2019. In February 2019, he joined Jamalpur Science and Technology University as a Lecturer and was later promoted to Assistant Professor in February 2022. In April 2022, he took on the additional responsibilities of Chairman of the CSE department and Additional Director of the university’s ICT Cell. Throughout his academic career, he has maintained an active role in teaching, research, and university administration.

Research Interests ๐Ÿ”ฌ

Md. Humaun Kabirโ€™s research spans a diverse range of topics within computer science and engineering. His primary areas of interest include brainโ€“computer interface (BCI), bioinformatics and biomedical engineering, signal and image processing, and machine learning. His work often explores the intersection of human cognition and machine intelligence, particularly through EEG-based applications and gesture recognition systems.

Awards and Honors๐Ÿ†โœจ

Kabir has published a total of 25 scholarly articles, including 23 peer-reviewed journal papers and 2 conference proceedings. Many of his works have appeared in prestigious Q1 and Q2 journals such as Sensors, Mathematics, Applied Sciences, and IEEE Access. He has also demonstrated competence in English proficiency by achieving an IELTS score of Band 6.0 in October 2023. His contributions have been widely recognized within the academic community, both nationally and internationally.

Conclusion๐ŸŒŸ

Md. Humaun Kabir stands out as an influential and emerging scholar in Bangladeshโ€™s academic and research landscape. His dedication to teaching, commitment to interdisciplinary research, and leadership within his institution reflect a well-rounded professional with a promising future. His work not only contributes to theoretical advancements but also addresses practical challenges in technology and healthcare, positioning him as a researcher with both depth and societal relevance.

Publications ๐Ÿ“š

๐Ÿง  Combining Deep Learning for Sign Language Recognition

๐Ÿ“… Date: April 2025
๐Ÿ“˜ Title: Combining state-of-the-art pre-trained deep learning models: A noble approach for Bangla sign language recognition using Max Voting Ensemble
๐Ÿ“ฐ Journal: Systems and Soft Computing
๐Ÿ”— DOI: 10.1016/j.sasc.2025.200230
๐Ÿ‘ฅ Authors: Md. Humaun Kabir, Abu Saleh Musa Miah, Md. Hadiuzzaman, Jungpil Shin


โœ‹ Hand Gesture Recognition Review

๐Ÿ“… Date: 2024
๐Ÿ“˜ Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
๐Ÿ“ฐ Journal: IEEE Access
๐Ÿ”— DOI: 10.1109/ACCESS.2024.3456436
๐Ÿ‘ฅ Authors: Jungpil Shin, Abu Saleh Musa Miah, Md. Humaun Kabir, Md. Abdur Rahim, Abdullah Al Shiam


๐ŸŒฑ Trie-PMS8 for Motif Search

๐Ÿ“… Date: 2024
๐Ÿ“˜ Title: Trie-PMS8: A trie-tree based robust solution for planted motif search problem
๐Ÿ“ฐ Journal: International Journal of Cognitive Computing in Engineering
๐Ÿ”— DOI: 10.1016/j.ijcce.2024.07.004
๐Ÿ‘ฅ Authors: Mohammad Hasan, Abu Saleh Musa Miah, Md. Humaun Kabir, Mahmudul Alam


๐Ÿง โšก EEG-Based BCI System with Feature Selection

๐Ÿ“… Date: August 2024
๐Ÿ“˜ Title: Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brainโ€“Computer Interface System
๐Ÿ“ฐ Journal: Sensors
๐Ÿ”— DOI: 10.3390/s24154989
๐Ÿ‘ฅ Authors: Md. Humaun Kabir, Nadim Ibne Akhtar, Nishat Tasnim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin


๐ŸŒ Neural Attention for English-Bangla Translation

๐Ÿ“… Date: April 2023
๐Ÿ“˜ Title: A Neural Attention-Based Encoder-Decoder Approach for English to Bangla Translation
๐Ÿ“ฐ Journal: Computer Science Journal of Moldova
๐Ÿ”— DOI: 10.56415/csjm.v31.04
๐Ÿ‘ฅ Authors: Abdullah Al Shiam, Sadi Md. Redwan, Md. Humaun Kabir, Jungpil Shin


๐Ÿงฌ EEG Motor Imagery Tasks & Feature Selection

๐Ÿ“… Date: April 2023
๐Ÿ“˜ Title: Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification
๐Ÿ“ฐ Journal: Mathematics
๐Ÿ”— DOI: 10.3390/math11081921
๐Ÿ‘ฅ Authors: Md. Humaun Kabir, Shabbir Mahmood, Abdullah Al Shiam, Abu Saleh Musa Miah, Jungpil Shin, Md. Khademul Islam Molla


๐Ÿ‘ค Gender Recognition from Bangla Names

๐Ÿ“… Date: December 2022
๐Ÿ“˜ Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
๐Ÿ“ฐ Journal: Applied Sciences
๐Ÿ”— DOI: 10.3390/app13010522
๐Ÿ‘ฅ Authors: Md. Humaun Kabir, Faruk Ahmad, Md. Al Mehedi Hasan, Jungpil Shin


๐Ÿ“ก Patch Antenna Design at 3.3 GHz

๐Ÿ“… Date: August 2022
๐Ÿ“˜ Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
๐Ÿ“ฐ Journal: International Journal of Engineering and Manufacturing (IJEM)
๐Ÿ‘ฅ Author: Md. Humaun Kabir


๐Ÿงพ Web-Based Student Registration System

๐Ÿ“… Date: April 2022
๐Ÿ“˜ Title: Web Based Student Registration and Exam Form Fill-up Management System for Educational Institute
๐Ÿ“ฐ Journal: IJIEEB
๐Ÿ‘ฅ Author: Md. Humaun Kabir


๐Ÿ—“๏ธ Smart Routine Management System

๐Ÿ“… Date: April 2022
๐Ÿ“˜ Title: Design and Implementation of Web-based Smart Class Routine Management System for Educational Institutes
๐Ÿ“ฐ Journal: I. J. Education and Management Engineering
๐Ÿ‘ฅ Author: Md. Humaun Kabir


Yanbo Wu | Urban Economics | Young Researcher Award

Dr. Yanbo Wu | Urban Economics | Young Researcher Award

Shanghai University of Finance and Economics, China

Dr. Yanbo Wu is a researcher with a Ph.D. in Economics from the Shanghai University of Finance and Economics. His scholarly contributions span various domains including housing policy, household energy use, and subjective well-being. He has authored multiple peer-reviewed articles in high-impact journals such as Economic Analysis and Policy, Applied Economics Letters, PLOS One, Energy Reports, and Heliyon. Dr. Wu is also an active academic contributor beyond authorship, serving as a peer reviewer for over 60 manuscripts across numerous prestigious journals. His expertise and commitment to academic integrity have earned him a position as Academic Editor for PLOS One.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Economics
    2023
    Shanghai University of Finance and Economics, Shanghai, China
    School of Public Economics and Administration

  • Master of Advanced Finance
    2020 โ€“ 2023
    Monash University, Melbourne, Australia
    School of Business

  • Bachelor of Economics
    2016 โ€“ 2020
    Tongling University, Tongling, China
    School of Finance

Professional Experience ๐Ÿ’ผ

  • Academic Researcher & Author
    Published in various journals (SCI, SSCI, SCOPUS) with work focused on the intersection of economics, energy, housing, and well-being.

  • Peer Reviewer
    Reviewed manuscripts for more than 15 academic journals, with over 60 peer review assignments.

  • Academic Editor
    PLOS One โ€“ Responsible for editorial decision-making and peer review coordination.

Research Interests ๐Ÿ”ฌ

  • Housing policy and urban development

  • Household energy consumption

  • Residentsโ€™ subjective well-being

  • Social integration of rural migrants

  • Environmental economics

  • Public policy and human capital

Conclusion๐ŸŒŸ

Dr. Yanbo Wu is a rising scholar in the fields of economics, housing studies, and energy policy. His international academic training, robust publication record, and active engagement as a reviewer and editor reflect his strong commitment to research excellence and interdisciplinary inquiry. His work contributes valuable insight into policy design and implementation for sustainable urban living and public well-being in China and beyond.

Publications ๐Ÿ“š

  • ๐Ÿ™๏ธ Land Use Tournaments and Urban Green Total Factor Productivity
    ๐Ÿ“˜ Economic Analysis and Policy (SSCI)
    ๐Ÿ” Urban Economics โ€ข Environmental Productivity


  • ๐ŸŒ Does the Use of the Internet Enhance Residents’ Well-Being?
    ๐Ÿ“™ Environment and Social Psychology (SCOPUS)
    ๐Ÿ˜Š Digital Life โ€ข Well-Being


  • ๐Ÿก The Land of Homesickness: The Impact of Homesteads on the Social Integration of Rural Migrants
    ๐Ÿ“— PLOS One (SCI)
    ๐Ÿงฉ Migration โ€ข Social Integration


  • ๐Ÿ‘จโ€๐Ÿ”ฌ Dynamic Evolution and Impact Mechanism of Human Capital Mismatch in Strategic Emerging Industries
    ๐Ÿ“• Heliyon (SCI)
    ๐Ÿญ Labor Economics โ€ข Industrial Policy


  • ๐Ÿ’ก The Effect of Building Electricity Consumption on Residentsโ€™ Subjective Well-Being: Evidence from China
    ๐Ÿข Buildings (SCI)
    โšก Energy Use โ€ข Happiness


  • ๐Ÿ˜๏ธ The Impact of Building Clean Energy Consumption on Residents’ Subjective Well-Being
    ๐Ÿข Buildings (SCI)
    ๐ŸŒฑ Sustainable Living โ€ข Well-Being


  • ๐Ÿ—๏ธ Synergistic Evolution of Resilience and Efficiency in the Real Estate Industry
    ๐Ÿ“˜ Applied Economics Letters (SSCI)
    ๐Ÿ”ง Urban Resilience โ€ข Economics


  • ๐ŸŒ Transfer Patterns and Driving Factors of China’s Energy Use in Trade
    ๐Ÿ“™ Energy Reports (SCI)
    ๐Ÿ”„ Trade โ€ข Energy Flow โ€ข IO Analysis


 

 

 

Andrews Appiah | Plant Science | Best Researcher Award

Mr. Andrews Appiah | Plant Science | Best Researcher Award

Lecturer at Sunyani Technical University, Ghana

Andrews Appiah is a Ghanaian academic and researcher in the field of agriculture and plant breeding. With a strong background in general agriculture, crop genetics, and competency-based education, he currently serves as an Assistant Lecturer at the Department of General Agriculture, Sunyani Technical University. His expertise spans plant breeding, molecular diversity analysis, and sustainable crop production, and he has published in notable peer-reviewed journals. He is also actively involved in student mentorship, research development, and academic committee work.

Publication Profileย 

Google Scholar

Educational Background ๐ŸŽ“

  • Diploma in Education (CBT Option)
    Akenten Appiah-Menka University of Skill Training and Entrepreneurial Development (AAMUSTED), Kumasi, Ghana
    (2021 โ€“ 2022)

  • MPhil in Plant Breeding
    Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
    (2018 โ€“ 2021)

  • BSc in Agriculture
    Methodist University Ghana, Wenchi Campus
    (2013 โ€“ 2016)

  • Higher National Diploma (HND) in General Agriculture
    Sunyani Technical University (formerly Sunyani Polytechnic)
    (2008 โ€“ 2011)

  • WASSCE
    Drobo Senior High School, Ghana
    (2003 โ€“ 2006)

Professional Experience ๐Ÿ’ผ

  • Assistant Lecturer (2021โ€“Present)
    Department of General Agriculture, Sunyani Technical University

    • Teaching, research, curriculum development

  • Research and Grantsmanship Committee Member (2022โ€“Present)
    Sunyani Technical University

  • Assistant Coordinator, Student Internships (2021โ€“Present)
    Sunyani Technical University

  • Principal Technician (2017โ€“2021)
    Sunyani Technical University

    • Supervised student practicals, agricultural production, research assistantship

  • Senior Technician (2012โ€“2017)
    Sunyani Technical University

  • Tutor (2011โ€“2012)
    Ghana Education Service, Pentecost JHS, Sankore

  • Agricultural Extension Agent (2010โ€“2011)
    Ministry of Food and Agriculture (MoFA), Sene West District

  • Internships:

    • Wenchi Farm and Research Institutes (Febโ€“Apr 2009)

    • MoFA, Jaman South Municipal (Juneโ€“Sept 2008)

Research Interests ๐Ÿ”ฌ

  • Plant breeding and genetics (okra, cowpea)

  • Molecular and morphological diversity

  • Sustainable crop improvement

  • Quantitative genetics

  • Integrated pest management (e.g., neem oil efficacy)

  • Agricultural biotechnology and data analysis

Workshops Attended

  • CBT workshops by CTVET (2022โ€“2024)

  • Bricks Agricultural Biotechnology Skills Camp, Russia

  • Research writing workshops (2022, 2017)

  • Plant breeding and genetics training with Texas A&M and Iowa State University

  • Poultry diseases and rice production workshops (MoFA)

Awards and Honors๐Ÿ†โœจ

While specific awards were not listed, his multiple international publications, invited training programs, and CBT teaching recognition highlight his respected status in agricultural academia and training circles.

Conclusion๐ŸŒŸ

Andrews Appiah is a dynamic and experienced agricultural scientist with a solid foundation in plant breeding, education, and practical fieldwork. His academic and technical journey from technician to assistant lecturer showcases his commitment to growth, research excellence, and capacity-building in Ghanaโ€™s agricultural sector. With strong analytical, teaching, and interpersonal skills, he continues to contribute to advancing sustainable agriculture and education.

Publications ๐Ÿ“š

  • ๐Ÿงฌ Owusu, E.Y., Kusi, F., Kena, A.W., Kassim, Y.B., Annor, B., Awuku, F.J., Attamah, P., Appiah, A., Lamini, S., Kuor, F., & Akromah, R.
    Gains in genetic enhancement of early maturing advanced breeding lines of cowpea (Vigna unguiculata (L.) Walp)
    Ecological Genetics and Genomics, 2025.
    ๐Ÿ”— DOI: 10.1016/j.egg.2025.100339


  • ๐ŸŒฟ Appiah, A., Akromah, R., Owusu, E.Y., & Addo, S.
    Genetic variability, heritability, genetic advance and correlation studies for yield and its attributes in okra (Abelmoschus esculentus (L.) Moench)
    ๐Ÿ“ Euphytica (in press)


  • ๐Ÿงฌ Appiah, A., Akromah, R., Kena, A.W., Annor, B., Amoah, S., & Owusu, E.Y.
    Molecular and Morphological diversity among Ghanaian okra germplasm: An excellent breeding resource
    ๐Ÿ“ Ecological Genetics and Genomics (in press)


  • ๐Ÿ“˜ MPhil Thesis:
    Genetic diversity among a collection of okra (Abelmoschus esculentus L.) genotypes in Ghana using morphological and molecular markers
    โ€“ KNUST, Ghana (2021)


  • ๐Ÿ“˜ BSc Thesis:
    Comparative effectiveness of commercial neem oil and synthetic insecticides (Karate) in the management of insect damage on cowpea
    โ€“ Methodist University Ghana (2016)


  • ๐Ÿ“˜ HND Dissertation:
    The Impact of illegal chainsaw operations on forest fringed communities: A study at the Miremano Forest Reserve of Ghana
    โ€“ Sunyani Technical University (2010)


  • ๐Ÿชด Mensah, G.W.K., Appiah, A., Anorbor, E.C., & Anku, L.
    Field evaluation of commercial neem oil in managing insect damage on cowpea in the Forest Zone of Ghana
    Agricultural Science Research Journal, 7(11): 329โ€“336
    ๐Ÿ”— resjournals.com
    ๐Ÿ“„ ISSN: 2026โ€“6073


 

 

 

 

Mahmoud Elmarzouky | Accounting | Best Keynote Speaker

Dr. Mahmoud Elmarzouky | Accounting | Best Keynote Speaker

Senior Lecturer at University of St Andrews, United Kingdom

Dr. Mahmoud Elmarzouky is a distinguished Senior Lecturer in Accounting at the University of St Andrews, UK, with over 20 years of combined academic and professional experience. He has earned recognition for his excellence in teaching, receiving the Student Experience Excellence Lecturer Award in 2022. His work integrates both academic research and practical industry knowledge, especially through his earlier role as a Senior Tax Inspector in Egyptโ€™s Ministry of Finance. Dr. Elmarzouky is widely published in top-tier journals and serves as an associate editor and reviewer for several leading academic journals. His research spans innovative applications of textual and semantic analysis in accounting and finance.

Publication Profileย 

Scopus

Google Scholar

Educational Background ๐ŸŽ“

  • Ph.D. in Accounting & Finance โ€“ University of Portsmouth, UK (2019)

  • M.Sc. in Accounting & Finance โ€“ Suez Canal University, Egypt (2012)

  • B.Sc. in Accounting โ€“ Menoufia University, Egypt (2004)

Professional Experience ๐Ÿ’ผ

Academic Positions

  • Senior Lecturer in Accounting, University of St Andrews, UK (Jan 2024 โ€“ Present)

  • Lecturer in Accounting and Finance, Aston University, UK (Aug 2022 โ€“ Present)

  • Senior Lecturer in Accounting and Finance, Kingston University, UK (May 2020 โ€“ Aug 2022)

  • Lecturer in Accounting and Finance, University of Portsmouth, UK (Jan 2019 โ€“ May 2020)

Professional Experience

  • Senior Tax Inspector, Tax Authority, Ministry of Finance, Egypt (Jul 2004 โ€“ Jan 2019)

Volunteer Roles

  • Governor and Information Advisor โ€“ Portsmouth Citizen Advice Bureau, UK

  • Trustee โ€“ York Play Space, UK

Research Interests ๐Ÿ”ฌ

Dr. Elmarzoukyโ€™s research focuses on applying advanced text analytics and AI-based techniques to accounting and auditing. His core interests include:

  • Textual analysis, semantic and content analysis

  • Natural Language Processing (NLP) and machine learning in financial disclosures

  • Corporate narrative reporting, sustainability and ESG reporting

  • Audit quality, modern slavery disclosures, climate change and carbon reporting

  • Corporate governance, risk disclosure, and implementation of financial reporting standards
    He is particularly interested in narrative and tone analysis in annual reports, extended audit reports, and the intersection of AI with traditional financial practices.

Awards and Honors๐Ÿ†โœจ

  • Student Experience Excellence Lecturer Award (2022) โ€“ Recognized for outstanding teaching effectiveness and student engagement

  • Certified Fraud Examiner (CFE) โ€“ 2021

  • Certified Management & Business Educator (CMBE) โ€“ 2021

  • Mental Health First Aider (MHFA) โ€“ Certificate from UKMH for supporting higher education students

Conclusion๐ŸŒŸ

Dr. Mahmoud Elmarzouky exemplifies a rare blend of academic depth and professional expertise. His journey from a senior tax inspector to an acclaimed academic and researcher in the UKโ€™s top institutions demonstrates his dedication to advancing accounting education and research. His innovative approach to research using NLP and machine learning bridges the gap between accounting theory and real-world practice. As a dynamic educator, editor, and researcher, Dr. Elmarzouky continues to influence the fields of accounting, auditing, and financial compliance on an international scale.

Publications ๐Ÿ“š

  1. ๐Ÿญ A novel measure of corporate carbon emission disclosure, the effect of capital expenditures and corporate governance
    โœ๏ธ AE Karim, K Albitar, M Elmarzouky
    ๐Ÿ“˜ Journal of Environmental Management, 290, 112581
    ๐Ÿ“… 2021 | ๐Ÿ” Cited by: 208


  2. ๐ŸŒฑ The ESG disclosure and the financial performance of Norwegian listed firms
    โœ๏ธ G Giannopoulos, RV Kihle Fagernes, M Elmarzouky, KABM Afzal Hossain
    ๐Ÿ“˜ Journal of Risk and Financial Management, 15(6), 237
    ๐Ÿ“… 2022 | ๐Ÿ” Cited by: 202


  3. ๐Ÿ”„ Sustainable strategic investment decision-making practices in UK companies: The influence of governance mechanisms on synergy between Industry 4.0 and circular economy
    โœ๏ธ F Alkaraan, M Elmarzouky, K Hussainey, VG Venkatesh
    ๐Ÿ“˜ Technological Forecasting and Social Change, 187, 122187
    ๐Ÿ“… 2023 | ๐Ÿ” Cited by: 173


  4. ๐Ÿฆ  Covid-19 and performance disclosure: does governance matter?
    โœ๏ธ M Elmarzouky, K Albitar, K Hussainey
    ๐Ÿ“˜ International Journal of Accounting & Information Management, 29(5), 776-792
    ๐Ÿ“… 2021 | ๐Ÿ” Cited by: 89


  5. ๐ŸŒ Reinforcing green business strategies with Industry 4.0 and governance towards sustainability: Naturalโ€resourceโ€based view and dynamic capability
    โœ๏ธ F Alkaraan, M Elmarzouky, K Hussainey, VG Venkatesh, Y Shi, N Gulko
    ๐Ÿ“˜ Business Strategy and the Environment, 33(4), 3588-3606
    ๐Ÿ“… 2024 | ๐Ÿ” Cited by: 76


  6. ๐Ÿ“ˆ Ownership structureโ€™s effect on financial performance: An empirical analysis of Jordanian listed firms
    โœ๏ธ A Alkurdi, A Hamad, H Thneibat, M Elmarzouky
    ๐Ÿ“˜ Cogent Business & Management, 8(1), 1939930
    ๐Ÿ“… 2021 | ๐Ÿ” Cited by: 75


  7. ๐Ÿ“‘ Do assurance and assurance providers enhance COVID-related disclosures in CSR reports? An examination in the UK context
    โœ๏ธ K Albitar, H Al-Shaer, M Elmarzouky
    ๐Ÿ“˜ International Journal of Accounting & Information Management, 29(3), 410-428
    ๐Ÿ“… 2021 | ๐Ÿ” Cited by: 65


  8. ๐Ÿ” Corporate risk disclosure and key audit matters: the egocentric theory
    โœ๏ธ M Elmarzouky, K Hussainey, T Abdelfattah, AE Karim
    ๐Ÿ“˜ International Journal of Accounting & Information Management, 30(2), 230-251
    ๐Ÿ“… 2022 | ๐Ÿ” Cited by: 55


  9. ๐Ÿ’ฐ The key audit matters and the audit cost: does governance matter?
    โœ๏ธ M Elmarzouky, K Hussainey, T Abdelfattah
    ๐Ÿ“˜ International Journal of Accounting & Information Management, 31(1), 195-217
    ๐Ÿ“… 2022 | ๐Ÿ” Cited by: 51


  10. ๐Ÿ“ COVID-19 disclosure: a novel measurement and annual report uncertainty
    โœ๏ธ M Elmarzouky, K Albitar, AE Karim, AS Moussa
    ๐Ÿ“˜ Journal of Risk and Financial Management, 14(12), 616
    ๐Ÿ“… 2021 | ๐Ÿ” Cited by: 51


 

 

 

Celine FABRET | Biology | Best Researcher Award

Assist. Prof. Dr. Celine FABRET | Biology | Best Researcher Award

Lecturer at Paris-Saclay University, France

Dr. Cรฉline Fabret is a Research Associate Professor at Paris-Saclay University, working at the Institut de Biologie Intรฉgrative de la Cellule (I2BC). She holds a Ph.D. in Molecular Biology and Genetics from Universitรฉ Aix-Marseille II and has extensive postdoctoral experience in both France and the United States. Her research focuses on translation termination, ribosome rescue mechanisms, prion biology, and gene regulation in bacteria and yeast. With a strong background in genetics and RNA biology, she has contributed to several international genome projects and has published in leading journals. Dr. Fabret is also an experienced educator and mentor, actively involved in training students and participating in academic governance.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Molecular Biology and Genetics, Universitรฉ Aix-Marseille II, France (1996)

    • Doctoral research at CNRS Marseille, within the European-Japanese Bacillus subtilis genome project

  • Master’s in Molecular Biology, Universitรฉ Aix-Marseille II, France

Professional Experience ๐Ÿ’ผ

  • 2025โ€“Present: Research Associate Professor, Paris-Saclay University, I2BC

  • 2011โ€“Present: Faculty member, Paris-Saclay University (teaching microbiology, genetics, molecular biology, genomics)

  • 2001โ€“2011: Lecturer, Sorbonne University (Pierre et Marie Curie Campus)

  • 1999โ€“2001: Researcher in P. Noirotโ€™s lab at INRA, Jouy-en-Josas โ€“ Genetic tools development and essential gene characterization

  • 1998โ€“1999: Researcher in L. Janniรจreโ€™s lab at INRA โ€“ High-frequency in vivo mutagenesis system in E. coli

  • 1996โ€“1998: Postdoctoral Fellow, J.A. Hoch’s Lab, The Scripps Research Institute (La Jolla, USA) โ€“ Sporulation and two-component systems in Bacillus subtilis

  • 1991โ€“1996: Doctoral researcher, CNRS Marseille โ€“ DNA sequencing and transcriptional analysis in B. subtilis

Research Interests ๐Ÿ”ฌ

Dr. Fabretโ€™s research bridges bacterial and eukaryotic translation, gene regulation, and RNA biology. Her focus includes:

  • Translation termination mechanisms in yeast and bacteria

  • Prion biology and its effect on stop codon recognition ([PSI+] phenotype)

  • Ribosome rescue and RNA quality control systems (RQC2, trans-translation)

  • Antibiotic response and translational reprogramming in Gram-negative bacteria

  • Functional genomics and essential gene analysis in Bacillus subtilis

  • Post-transcriptional modifications and their role in translational fidelity

She has supervised 2 PhD theses, 3 Master 2 (M2), and 16 Master 1 (M1) students, contributing to the training of the next generation of molecular biologists.

Awards and Honors๐Ÿ†โœจ

  • Lead participant in multiple European research consortia on genome projects and enzyme engineering

  • Co-author of high-impact publications in Nature Cell Biology, Structure, Nucleic Acids Research, Molecular Microbiology

  • Elected member of the Consultative Commission of Biology Specialists and the Biology Department Council, Paris-Saclay University

  • Recognized for interdisciplinary collaboration with pharmaceutical companies (e.g., Aventis) and international institutions

Conclusion๐ŸŒŸ

Dr. Cรฉline Fabret has made sustained and meaningful contributions to molecular microbiology, translation biology, and bacterial physiology. Through a unique combination of genetic, biochemical, and functional genomics approaches, she has deepened our understanding of translation mechanisms and gene regulation across domains of life. As a researcher, educator, and mentor, she remains committed to advancing science and supporting young scientists in their careers.

Publications ๐Ÿ“š

  1. ๐Ÿงฌ Fabret C, Giudice E, Chat S, Gillet R, Namy O (2025)
    RQC2 is a major player in peptide release from stalled ribosomes
    Structure, 31: S0969-2126(25)00105-4.


  2. ๐Ÿฆ  Fruchard L, Babosan A, Carvalho A, Lang M, Li B, Duchateau M, Giai Gianetto Q, Matondo M, Bonhomme F, Hatin I, Arbes H, Fabret C, et al. (2025)
    Aminoglycoside tolerance in Vibrio cholerae engages translational reprogramming
    (Accepted, journal not specified).


  3. ๐Ÿงช Fabret C, Namy O (2021)
    Translation efficiency of E. coli ribosomes with covalently linked subunits
    Nucleic Acids Research, 49(9): 5308โ€“5318.


  4. ๐Ÿ”ฌ Malagnac*, Fabret* et al. (2013)
    A gene regulated by a -1 frameshift in Podospora anserina
    PLoS One, 8(9): e73772. (co-first authors)


  5. ๐Ÿ”Ž Cosnier B, Kwapisz M, Hatin I, Namy O, Fabret C (2011)
    Translational readthrough of S. cerevisiae genes IMP3 and PDE2
    PLoS One, 6(4): e19500.


  6. ๐Ÿงซ Desmolaize B, Fabret C, Graille M, van Tilbeurgh H, Brochier-Armanet C, Namy O (2011)
    23S rRNA modifications in Bacillus subtilis
    Nucleic Acids Research, 39(21): 9368โ€“9375.


  7. ๐Ÿงฌ Fabret C, Malagnac F, Namy O (2011)
    tRNA-CAU modification enzyme and AUA codon recognition in Bacillus subtilis
    Molecular Microbiology, 80(4): 1062โ€“1074.


  8. ๐Ÿ’ก Blanchet S, Cornu D, Hatin I, Grosjean H, Bertin P, Namy O, Fabret C (2015)
    eRF1 interactions with stop codons and the ribosome
    Nucleic Acids Research, 43(6): 3298โ€“3308.


  9. ๐Ÿง  Kabani M, Melki R, Fabret C (2011)
    Prion formation and the eRF3 protein in yeast
    Molecular Microbiology, 81(3): 640โ€“658.


  10. ๐Ÿ”ฌ Tork S, Hatin I, Rousset JP, Fabret C (2004)
    5โ€ฒ and 3โ€ฒ context effects on stop codon recognition
    Nucleic Acids Research, 32(2): 415โ€“421.


 

 

 

Jihan Zhuang | Second Life Battery | Best Researcher Award

Dr. Jihan Zhuang | Second Life Battery | Best Researcher Award

Stanford University, United States

Jihan Zhuang is a materials scientist specializing in lithium-ion battery technologies, second-life battery applications, and energy storage systems. With a strong academic foundation and industry experience, Jihan bridges the gap between advanced materials research and practical implementation in electric mobility and circular energy systems. Currently working as an E-mobility Scientist at Shell, he contributes to battery storage modeling, EV infrastructure, and international standards development.

Publication Profileย 

Orcid

Educational Background ๐ŸŽ“

  • Stanford University, Department of Materials Science and Engineering
    Ph.D. & M.S. in Materials Science and Engineering (2017.09 โ€“ 2024.01)
    GPA: 3.73 / 4.00

  • Zhejiang University (ZJU), School of Materials Science and Engineering
    B.Eng. in Polymer Science and Engineering (2013.09 โ€“ 2017.06)
    GPA: 3.84 / 4.00

Professional Experience ๐Ÿ’ผ

  • Shell, Houston, Texas, USA โ€“ E-Mobility Scientist (2024.02โ€“Present)

    • Developed battery energy storage models for Shell EV charging stations.

    • Engaged in ISO PT6 standards development for EV charging.

    • Analyzed battery aging, thermal behavior, and charging technologies.

    • Provided insights on battery data sharing and policy recommendations.

  • IDG Capital, Beijing, China โ€“ Investment Intern (2023.06โ€“2023.09)

    • Researched electric vehicle and AI-related markets.

    • Engaged with US robotics startups and venture capital funding trends.

  • Shell, Short Duration Storage Team, Houston โ€“ Intern (2022.06โ€“2022.09)

    • Created a framework for second-life Li-ion battery strategies.

    • Identified viable use cases for batteries in various chemistries.

    • Evaluated battery reuse models and investment opportunities.

Research Interests ๐Ÿ”ฌ

  • Lithium-ion battery lifecycle and aging analysis

  • Second-life battery applications and economic modeling

  • EV charging infrastructure and grid integration

  • Energy storage systems (ESS) in circular economy models

  • Sustainable and innovative mobility solutions

Awards and Honors๐Ÿ†โœจ

  • StorageX Fast Charging Consortium (SaFC) and Circular Economy (C2E2) Grand โ€“ Participant (2021โ€“2022)

  • DIANins Outstanding Student Scholarship โ€“ Awarded in 2020

  • Vice President, Association of Chinese Students and Scholars at Stanford (2018โ€“2019)

Conclusion๐ŸŒŸ

Jihan Zhuang is an emerging expert in battery technology and sustainable mobility systems, combining academic excellence with practical impact. His contributions span from designing battery reuse frameworks to shaping EV charging standards at a global level. With a strong vision for energy sustainability and circular economy, Jihan is poised to make significant contributions to the future of clean transportation and storage technologies.

Publications ๐Ÿ“š

  1. ๐Ÿ”‹ Zhuang, J., Bach, A., van Vlijmen, B.H.C., Chueh, W., Benson, S.M., Onori, S. (2025)
    A Decision-making Model for Retired Li-ion Batteries
    Applied Energy โ€“ โœ… Accepted


  2. ๐Ÿ’ธ Zhuang, J., Bach, A., Chueh, W., Benson, S.M., Onori, S. (In preparation)
    Economic Feasibility Analysis of Second-Life Batteries in Electric Bus Charging Station at Stanford


  3. โ™ป๏ธ Bach, A., Zhuang, J., Onori, S., Reichelstein, S.J. (2024)
    Fair Market Valuation of EV Batteries in the Circular Economy
    Nature Communications โ€“ ๐Ÿ“ค Submitted


  4. ๐Ÿ›น Bombik, A., Zhuang, J., Taraborrelli, A., Liu, G., Chang, F.-K. (2019)
    Design of a Multi-functional Energy Storage Composite Electric Skateboard
    Proceedings of the American Society for Compositesโ€”34th Technical Conference
    DOI: 10.12783/asc34/3137221B


 

 

 

Chengfeng Jian | Computer-Aided Design | Best Researcher Award

Prof. Dr. Chengfeng Jian | Computer-Aided Design | Best Researcher Award

Professor at Zhejiang University of Technology, China

Chengfeng Jian is a distinguished academic in the field of computer science, currently serving as a Professor in the Department of Computer Science and Technology at Zhejiang University of Technology, Hangzhou, China. Born in June 1973 in Zhejiang Province, China, he has made significant contributions to the areas of Artificial Intelligence (AI), Computer-Aided Design (CAD), and Cloud Computing.

Publication Profileย 

Orcid

Educational Background ๐ŸŽ“

  • Ph.D. in Computer Science
    Institution: Zhejiang University, Hangzhou, China
    Field: Computer Science and Technology
    Completed: Year not specified

Professional Experience ๐Ÿ’ผ

  • Professor, Department of Computer Science and Technology
    Institution: Zhejiang University of Technology, Hangzhou, China
    Role: Engaged in teaching, research, and supervision of graduate students in fields related to AI, CAD, and Cloud Computing.

Research Interests ๐Ÿ”ฌ

  • Artificial Intelligence (AI)

  • Computer-Aided Design (CAD)

  • Cloud Computing
    He is actively involved in both the theoretical and applied aspects of these domains, contributing to academic publications and technological innovations.

Conclusion๐ŸŒŸ

Chengfeng Jian is a leading academic figure in computer science whose research spans cutting-edge technologies such as AI, CAD, and Cloud Computing. With a solid educational background and a professorship at a reputable university, he continues to influence and contribute to the advancement of technology and education in China.

Publications ๐Ÿ“š

๐Ÿ†• STEP-based model recommendation method for exchanging and reusing digital twins

๐Ÿ“˜ Journal of Industrial Information Integration, 2025
๐Ÿ”— DOI: 10.1016/j.jii.2025.100839
๐Ÿ‘ฅ Authors: Chengfeng Jian, Zhuoran Dai, Jinyu Chen, Meiyu Zhang


๐Ÿค– A hybrid manufacturing scheduling optimization strategy in collaborative edge computing

๐Ÿ“˜ Evolutionary Intelligence, 2024
๐Ÿ”— DOI: 10.1007/s12065-022-00786-z
๐Ÿ‘ฅ Authors: Zhuoyang Pan, Xianghui Hou, Hao Xu, Lukun Bao, Meiyu Zhang, Chengfeng Jian


๐Ÿง  GNN-based deep reinforcement learning for MBD product model recommendation

๐Ÿ“˜ International Journal of Computer Integrated Manufacturing, 2024
๐Ÿ”— DOI: 10.1080/0951192X.2023.2258090
๐Ÿ‘ฅ Authors: Yuying Hu, Zewen Sheng, Min Ye, Meiyu Zhang, Chengfeng Jian


๐Ÿ“ก Online-learning task scheduling with GNN-RL scheduler in collaborative edge computing

๐Ÿ“˜ Cluster Computing, 2024
๐Ÿ”— DOI: 10.1007/s10586-022-03957-w
๐Ÿ‘ฅ Authors: Chengfeng Jian, Zhuoyang Pan, Lukun Bao, Meiyu Zhang


๐Ÿ“ฆ A novel graph neural networks approach for 3D product model retrieval

๐Ÿ“˜ International Journal of Computer Integrated Manufacturing, 2023
๐Ÿ”— DOI: 10.1080/0951192X.2022.2104460
๐Ÿ‘ฅ Authors: Chengfeng Jian, Yiqiang Lu, Mingliang Lin, Meiyu Zhang


โœ‹ KOA-CLSTM-based real-time dynamic hand gesture recognition on mobile terminal

๐Ÿ“˜ Signal, Image and Video Processing, 2023
๐Ÿ”— DOI: 10.1007/S11760-022-02395-W
๐Ÿ‘ฅ Authors: Xianghui Hou, Sijia Cen, Meiyu Zhang, Chengfeng Jian


๐ŸŒ€ QSCC: A Quaternion Semantic Cell Convolution GNN for MBD Product Model Classification

๐Ÿ“˜ IEEE Transactions on Industrial Informatics, 2023
๐Ÿ”— DOI: 10.1109/TII.2023.3246066
๐Ÿ‘ฅ Authors: Chengfeng Jian, Zewen Sheng, Yiqiang Lu, Mingliang Lin, Meiyu Zhang, Xianghui Hou


โš™๏ธ A high-efficiency learning model for virtual machine placement in mobile edge computing

๐Ÿ“˜ Cluster Computing, 2022
๐Ÿ”— DOI: 10.1007/S10586-022-03550-1
๐Ÿ‘ฅ Authors: Chengfeng Jian, Lukun Bao, Meiyu Zhang


๐Ÿคฒ RD-Hand: a real-time regression-based detector for dynamic hand gesture

๐Ÿ“˜ Applied Intelligence, 2022
๐Ÿ”— DOI: 10.1007/S10489-021-02380-9
๐Ÿ‘ฅ Authors: Chengfeng Jian, Xingze Liu, Meiyu Zhang


โ˜๏ธ A cloud edge-based two-level hybrid scheduling learning model in cloud manufacturing

๐Ÿ“˜ International Journal of Production Research, 2021
๐Ÿ”— DOI: 10.1080/00207543.2020.1779371
๐Ÿ‘ฅ Authors: Chengfeng Jian, Jing Ping, Meiyu Zhang


Indhumathi G | Biomedical Image Processing | Best Researcher Award

Ms. Indhumathi G | Biomedical Image Processing | Best Researcher Award

Assistant Professor at Rajalakshmi Engineering College, India

Indhumathi G is a dedicated academic and researcher currently serving as an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Rajalakshmi Engineering College, Chennai. With a strong background in communication and networking, she is pursuing a Ph.D. in Image Processing at Anna University. Her academic journey and professional career span several reputed institutions, during which she has contributed significantly to teaching, consultancy, and innovative research. She has co-authored numerous research papers, filed patents, and secured funding for industry projects. Her recent work emphasizes the application of deep learning and IoT in healthcare, agriculture, and automation.

Publication Profileย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Image Processing โ€“ Pursuing, Anna University

  • M.E. in Communication and Networking โ€“ Ganadipathy Tulsiโ€™s Jain Engineering College, 1st Class, CGPA: 7.9/10, Year: 2015

  • B.E. in Electronics and Communication Engineering โ€“ Ranippettai Engineering College, 1st Class, CGPA: 8/10, Year: 2013

  • HSC โ€“ TMKV Govt. Hr. Sec. School, 75%, Year: 2009

  • SSLC โ€“ Auxilium Girls Hr. Sec. School, 80%, Year: 2007
    (No history of arrears)

Professional Experience ๐Ÿ’ผ

  • Assistant Professor, Rajalakshmi Engineering College, Chennai
    Sep 16, 2022 โ€“ Present

  • Assistant Professor, Loyola Institute of Technology, Chennai
    June 26, 2018 โ€“ Sep 17, 2022

  • Assistant Professor, Sree Krishna College of Engineering, Anaicut, Vellore
    June 1, 2015 โ€“ June 23, 2018

Research Interests ๐Ÿ”ฌ

  • Image Processing and Deep Learning

  • Medical Image Analysis (e.g., Alzheimerโ€™s Disease Detection)

  • IoT Applications in Healthcare and Agriculture

  • AI for Accident Prediction and Monitoring Systems

  • Smart Supply Chain and Automation Systems

  • Wireless Sensor Networks and Optimization Algorithms

  • Federated Learning in Smart Cities

Awards and Honors๐Ÿ†โœจ

  • Reviewer Appointment: International Journal of Medical Imaging (IJMI) (2023โ€“2026)

  • Best Faculty Award: Awarded by Technical Forum Research Foundation

Conclusion๐ŸŒŸ

Indhumathi G is a proactive and forward-thinking academic professional with a strong inclination toward research and innovation. Her expertise spans across AI, IoT, and image processing, with tangible contributions to real-world problems through consultancy, funded projects, and patent filings. Her blend of academic excellence, industry collaboration, and innovative thinking positions her as a valuable contributor in the field of Electronics and Communication Engineering.

Publications ๐Ÿ“š

  1. ๐Ÿงฌ A Novel CNN Architecture: Comprehensive Approach to Alzheimerโ€™s disease classification
    ๐Ÿ“ Journal of Medical Imaging (Under Review)
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M


  2. ๐Ÿง  Alzheimerโ€™s disease classification using Hybrid loss Psi-Net Segmentation and a New Hybrid Network Model
    ๐Ÿ“˜ Journal of Computational Biology and Chemistry (Impact Factor: 2.6)
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M


  3. ๐Ÿง  Comparative Analysis of Machine Learning Algorithms on Prediction of Alzheimer from MRI
    ๐Ÿ“ 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M, Senthil Kumar A, Sairam V A


  4. ๐Ÿง  A Non-invasive method to detect and classify Alzheimer’s disease
    ๐Ÿ“ 3rd Int. Conf. on Deep Sciences for Computing and Communications, SRM IST
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G, Palanivelan M, Saranya G


  5. ๐ŸŒฑ Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture
    ๐Ÿ“ 2nd Int. Conf. on Data Science and Information System (ICDSIS), May 2024
    ๐Ÿ‘จโ€๐Ÿ”ฌ M Balamurugan et al., including G Indhumathi


  6. ๐ŸŸ Intelligent Aquaponics using IoT
    ๐Ÿ“˜ IT in Industry, Vol. 9 No. 2 (2021), Impact Factor: 0.043
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G


  7. ๐Ÿšจ Smart Accident Detection and Helmet Detection โ€“ Emergency Alert System
    ๐Ÿ“ IEEE Int. Conf. ACCAI 2024, St. Joseph College of Engineering
    ๐Ÿ‘ฉโ€๐Ÿ’ป Saranya G, Indhumathi G, et al.


  8. ๐Ÿ” Automated Intracranial Hemorrhage Detection Using Deep Learning
    ๐Ÿ“ ICDSNS, July 2024
    ๐Ÿ‘ฉโ€๐Ÿ’ป Naresh Kumar Kar et al., including Indhumathi G


  9. ๐Ÿš‘ Critical Healthcare Monitoring and secure data sharing using AES Encryption and IoT
    ๐Ÿ“˜ Turkish Journal of Physiotherapy and Rehabilitation, Vol 32(3), Impact Factor: 0.4
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G


  10. ๐Ÿงฏ Laboratory Safety System using IoT
    ๐Ÿ“˜ Psychology and Education, Vol. 57 (2020), Impact Factor: 0.0083
    ๐Ÿ‘ฉโ€๐Ÿ’ป Indhumathi G


 

 

Balamurugan Guru | Hazards and Landslide Mapping | Best Researcher Award

Prof. Balamurugan Guru | Hazards and Landslide Mapping | Best Researcher Award

Professor at Central University of Tamil Nadu, India

Dr. Guru Balamurugan is a Professor and Head of the Department of Geology at the Central University of Tamil Nadu, with over two decades of research experience and 16 years in academia. He is a distinguished expert in groundwater modeling, geospatial technologies, and disaster risk management. His work bridges academic rigor with practical applications, including sustainable water resource management, climate change impact assessments, and geoinformatics in disaster resilience. Dr. Balamurugan has led multiple national and international research projects, published extensively, and contributed to curriculum development and laboratory establishment at leading Indian institutions.

Publication Profileย 

Scopus

Orcid

Educational Background ๐ŸŽ“

  • Certificate in Water Resource (2016) โ€“ ITC, Twente University, The Netherlands

  • Ph.D. in Hydrogeology (Groundwater Modeling) (2008) โ€“ IIT Bombay, India

  • M.Tech in Remote Sensing (2003) โ€“ CERS, Bharathidasan University, Trichy

  • PG Diploma in Hydrogeology (2001) โ€“ Annamalai University

  • M.Sc. in Applied Geology (1999) โ€“ National College, Bharathidasan University

  • B.Sc. in Geology (1997) โ€“ National College, Bharathidasan University

Professional Experience ๐Ÿ’ผ

  • Professor & Head (June 2023โ€“present) โ€“ Dept. of Geology, Central University of Tamil Nadu (CUTN)

  • Associate Professor (2020โ€“2023) โ€“ CUTN, Founder Head of Department of Geology

  • Chairperson (2012โ€“2020) โ€“ Centre for Geoinformatics, TISS, Mumbai

  • Associate Professor (2017โ€“2020) โ€“ Centre for Geoinformatics, TISS

  • Assistant Professor (2008โ€“2017) โ€“ TISS, Jamsetji Tata School of Disaster Studies

  • Research Fellow (2003โ€“2004) โ€“ ISRO-funded project on groundwater systems

  • Groundwater Consultant (1999โ€“2000) โ€“ Conducted geophysical surveys in South India

Research Interests ๐Ÿ”ฌ

  • Groundwater exploration, modeling & sustainable water resource management

  • Application of Remote Sensing & GIS in hydrogeology and disaster management

  • Climate change impact assessments on water resources

  • Natural disaster mapping, risk analysis & early warning systems

  • Integration of geoinformatics in urban planning and resilience building

Awards and Honors๐Ÿ†โœจ

  • IRO, TISS Fellowship โ€“ Study at ITC, The Netherlands (2016)

  • Max Planck-TISS Research Grant โ€“ Urban Aspirations Study (2013)

  • DAAD Fellowship (Germany) โ€“ Research on groundwater modeling (2006โ€“07)

  • AICTE-NDF Scholarship โ€“ Ph.D. at IIT Bombay (2004โ€“08)

  • Student Research Grant โ€“ TN State Council for Science & Technology (1999)

  • Qualified UPSC Geologist Examination โ€“ 2008

  • Qualified State Eligibility Test (SET) โ€“ 2006

Conclusion๐ŸŒŸ

Dr. Guru Balamurugan stands as a leading geoscientist integrating hydrogeology, geoinformatics, and disaster studies to address critical challenges in water security and environmental sustainability. His career reflects a strong dedication to both academic excellence and community impact through research, teaching, and policy contributions. With multiple fellowships, leadership roles, and international exposure, he continues to shape the future of earth sciences and disaster risk management in India and beyond.

Publications ๐Ÿ“š

๐Ÿ“˜ Enhancing evacuation shelter suitability in compound hazard-prone regions with a Bayesian optimized convolutional neural network approach
๐Ÿ“ฐ International Journal of Disaster Risk Reduction
๐Ÿ“… 2025-03
๐Ÿ”— DOI: 10.1016/j.ijdrr.2025.105306
๐Ÿ‘ฅ Somnath Bera, Swapan Talukdar, Kim-Anh Nguyen, Yuei-An Liou, Balamurugan Guru, Ranit Chatterjee, G V Ramana


๐ŸŒŠ Sustainable tourism, livelihood and coastal governance: Chilika lake, India
๐Ÿ“ฐ Ocean & Coastal Management
๐Ÿ“… 2024-07
๐Ÿ”— DOI: 10.1016/j.ocecoaman.2024.107128
๐Ÿ‘ฅ Biswanath Dash, Balamurugan Guru


๐Ÿš๏ธ Assessment of shelter location-allocation for multi-hazard emergency evacuation
๐Ÿ“ฐ International Journal of Disaster Risk Reduction
๐Ÿ“… 2023-01
๐Ÿ”— DOI: 10.1016/j.ijdrr.2022.103435
๐Ÿ‘ฅ Somnath Bera, Kaushal Gnyawali, Kshitij Dahal, Raquel Melo, Miao Li-Juan, Balamurugan Guru, G V Ramana


๐Ÿ™๏ธ Earthquake and flood resilience through spatial planning in the complex urban system
๐Ÿ“ฐ Progress in Disaster Science
๐Ÿ“… 2022-04
๐Ÿ”— DOI: 10.1016/j.pdisas.2022.100219
๐Ÿ‘ฅ Sujata Kodag, Shibu K. Mani, Guru Balamurugan, Somnath Bera


โ˜€๏ธ A Study on Solar and Green House Gas Mitigation Potential in India using AHP and Geospatial Technology
๐Ÿ“ฐ International Journal of Renewable Energy Research
๐Ÿ“… 2021
๐Ÿ”— DOI: 10.20508/ijrer.v11i1.11758.g8132
๐Ÿ‘ฅ Balamurugan Guru


๐Ÿ–๏ธ Shoreline Changes Analysis and Forecast Using DSAS 5.0: East Coast of India
๐Ÿ“ฐ Journal of the Indian Society of Remote Sensing
๐Ÿ“… 2021-11
๐Ÿ”— DOI: 10.1007/s12524-021-01424-4
๐Ÿ‘ฅ Gopal Barik, Balamurugan Guru, Francis Sangma


๐ŸŒ‹ Assessment of exposed elements in a changing built environment using debris flow models (Kalimpong, Himalaya)
๐Ÿ“ฐ Bulletin of Engineering Geology and the Environment
๐Ÿ“… 2021-09
๐Ÿ”— DOI: 10.1007/s10064-021-02352-w
๐Ÿ‘ฅ Somnath Bera, Raquel Melo, Balamurugan Guru


โš ๏ธ Natech guide words: A new approach to assess and manage Natech risk for business continuity
๐Ÿ“ฐ Journal of Loss Prevention in the Process Industries
๐Ÿ“… 2021-09
๐Ÿ”— DOI: 10.1016/j.jlp.2021.104564
๐Ÿ‘ฅ Dr. Sachin Damle, Shibu K. Mani, Guru Balamurugan


โ›ฐ๏ธ Landslide inventory and susceptibility models using deep learning: Himalayas, India
๐Ÿ“ฐ Natural Hazards
๐Ÿ“… 2021-08
๐Ÿ”— DOI: 10.1007/s11069-021-04731-8
๐Ÿ‘ฅ Somnath Bera, Vaibhav Kumar Upadhyay, Balamurugan Guru, Thomas Oommen


๐Ÿ’ง Integrated multi-criteria analysis for groundwater potential mapping (North Gujarat, India)
๐Ÿ“ฐ Hydrological Sciences Journal
๐Ÿ“… 2021-04-26
๐Ÿ”— DOI: 10.1080/02626667.2021.1906427
๐Ÿ‘ฅ Rudra Mohan Pradhan, Balamurugan Guru, Pradhan B, Tapas Kumar Biswal


Amina Chahtou | Photovoltaic | Best Researcher Award

Assoc. Prof. Dr. Amina Chahtou | Photovoltaic | Best Researcher Award

Associate professor at Renewable Energy Development Center, Algeria

Dr. Amina Chahtou is an Associate Professor and renewable energy researcher at the Renewable Energy Development Center (CDER) in Algeria. She holds a Ph.D. in Advanced Materials Science and Technology from Hirosaki University, Japan, and a Masterโ€™s degree in Materials and Photovoltaic Science from USTMB, Algeria. Her research focuses on solar energy, photovoltaic performance, material optimization, and advanced reduction processes for metals like aluminum and titanium. With international academic and research experience, she has published extensively in peer-reviewed journals and actively promotes sustainability through initiatives like WiSER (Women in Sustainability, Environment and Renewable Energy).

Publication Profileย 

Orcid

Educational Background ๐ŸŽ“

  • Ph.D. in Advanced Materials Science and Technology
    Graduate School of Science and Technology, Hirosaki University, Japan
    Thesis: “Optimization of heating-temperature on carbothermal reduction of alumina for production of aluminum” (2018)

  • Masterโ€™s Degree in Materials and Photovoltaic Science
    University of Sciences and Technology Mohamed Boudiaf (USTMB), Algeria (2012โ€“2014)
    Distinction: Excellent โ€“ Ranked 1st out of over 100 students

  • Bachelorโ€™s Degree in Physics Applied to Natural and Life Sciences
    University of Sciences and Technology Mohamed Boudiaf (USTMB), Algeria (2009โ€“2012)
    Distinction: Excellent โ€“ Ranked 2nd out of over 50 students

  • Baccalaureate (Physics Option)
    Algeria (June 2012) โ€“ With honors

Professional Experience ๐Ÿ’ผ

  • Associate Professor / Permanent Researcher
    Renewable Energy Development Center (CDER), Algeria (Feb 2020โ€“present)

  • Physics and Biophysics Lecturer
    Faculty of Medicine, University of Algiers (Oct 2024โ€“present)

  • WiSER Pioneer Member
    Masdar Institute, Abu Dhabi โ€“ Women in Sustainability, Environment, and Renewable Energy (Jan 2022โ€“present)

  • Lecturer (Mathematics, Electricity, Mechanics)
    USTMB (Oct 2018โ€“Jan 2020)

  • Assistant Researcher
    Advanced Materials for Science and Technology, NJRISE, Japan (Oct 2015โ€“2018)

  • Research Member
    Solar Sahara Breeder Project (Japanโ€“Algeria) (2012โ€“2015)

  • Research Assistant
    Lab of Electronic Microscopy and Materials Science, Algeria (2012โ€“2014)

  • High School Physics Teacher
    Algeria (Dec 2014โ€“June 2015)

  • R&D Intern
    SONALGAZ & Military Hospital, Oran (2010โ€“2012)

Research Interests ๐Ÿ”ฌ

  • Solar energy and photovoltaic systems

  • Materials for renewable energy (solar-grade silicon, aluminum, titanium)

  • Carbothermal reduction processes

  • Environmental influence on PV module performance

  • Machine learning applications in energy systems

  • Nanomaterials and surface analysis (AFM, XRD, SEM)

Awards and Honors๐Ÿ†โœจ

  • Top Rank Student โ€“ 1st in Masterโ€™s Program (USTMB)

  • Top Rank Student โ€“ 2nd in Bachelorโ€™s Program (USTMB)

  • Certificates Obtained:

    • XRD Training (Regaku Japan, 2015)

    • PV Panel Installation (CDER, 2020)

    • Project Management & Patent Treatment (2021)

    • ISO 17025 / ISO 9001 (2021)

    • Cisco Networking: CCNA Exploration (2019)

Conclusion๐ŸŒŸ

Dr. Amina Chahtou is a dedicated materials scientist and renewable energy expert with deep experience in solar energy technologies, photovoltaic performance analysis, and advanced material processing. With international education and research experience in Japan and Algeria, and a growing publication record, she contributes significantly to the sustainable energy sector. Her multidisciplinary expertise and involvement in women-in-science initiatives position her as a prominent researcher advancing green technologies in North Africa and beyond.

Publications ๐Ÿ“š

  1. ๐ŸŒ Techno-economic of Solar-powered Desalination for Green Hydrogen Production: Insights from Algeria with Global Implications
    International Journal of Hydrogen Energy (April 2025)
    ๐Ÿ”— DOI: 10.1016/j.ijhydene.2025.03.306
    ๐Ÿ‘ฅ Amina Chahtou, Brahim Taoussi


  2. โšก Performance Degradation, Failures, and a New Strategy for Enhancing Efficiency: Selecting Optimal Polycrystalline Silicon PV Modules for Different Cities in Northern Algeria
    Journal of Failure Analysis and Prevention (Dec 2024)
    ๐Ÿ”— DOI: 10.1007/s11668-024-02083-6
    ๐Ÿ‘ฅ Amina Chahtou, El Amin Kouadri Boudjelthia, Nesreddine Belhaouas


  3. โ™จ๏ธ Optimization of Heating-Temperature on Carbothermal Reduction of Alumina for Production of Aluminum
    International Journal of Biosensors & Bioelectronics (Apr 2018)
    ๐Ÿ”— DOI: 10.15406/ijbsbe.2018.04.00099
    ๐Ÿ‘ฅ Amina Chahtou


  4. โš™๏ธ Development of Real-time Weight Monitoring System for the Carbothermic Reduction Process of Silica
    Materials Transactions (2016)
    ๐Ÿ”— DOI: 10.2320/matertrans.M2016163
    ๐Ÿ‘ฅ R. Benioub, A. Boucetta, A. Chahtou, S.M. Heddadj, M. Adnane, Y. Furuya, K. Itaka


  5. ๐Ÿงช Optimization of the Granulation Binders of High-Purity Carbothermic Reduction for Solar-grade Silicon
    Materials Transactions (2016)
    ๐Ÿ”— DOI: 10.2320/matertrans.M2016218
    ๐Ÿ‘ฅ A. Boucetta, R. Benioub, A. Chahtou, S.M. Heddadj, T. Ogasawara, Y. Furuya, S. Hamzaoui, K. Itaka


  6. ๐Ÿ” Visual Degradation of PV Modules After 30 Years of Exposure in Algeria
    In Artificial Intelligence and Renewables Towards an Energy Transition (2021)
    ๐Ÿ”— DOI: 10.1007/978-3-030-63846-7_78
    ๐Ÿ‘ฅ Amina Chahtou


  7. ๐Ÿ”ฌ Study of Carbothermal Reduction of Silica, Alumina and Titania Under Argon Gas
    In ICREEC 2019 Proceedings (2020)
    ๐Ÿ”— DOI: 10.1007/978-981-15-5444-5_37
    ๐Ÿ‘ฅ Amina Chahtou


  8. ๐ŸŒž Study of STC Performance Outdoor for PV Modules Under Different Irradiation at Temperature of 25ยฐC
    International Conference on Artificial Intelligence in Renewable Energetic Systems
    ๐Ÿ“ Tipaza, Algeria โ€“ (Dec 2020)
    ๐Ÿ‘ฅ Amina Chahtou