Chandra Sekhar Kolli | Computer Science | Best Researcher Award

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Dr. Chandra Sekhar Kolli | Computer Science | Best Researcher Award

Associate Professor at Shri Vishnu Engineering College for Women, India

Dr. Chandra Sekhar Kolli is an accomplished academic in Computer Science with extensive teaching experience across multiple prestigious institutions. With a passion for research and a commitment to advancing knowledge in the field, Dr. Kolli has made significant contributions to areas such as machine learning, data science, and cyber security.

Profile

Scopus Profile

Education 🎓

Dr. Kolli holds a Ph.D. in Computer Science from GITAM (Deemed to be University), Visakhapatnam, obtained in 2021. He completed his M.E. in Computer Science Engineering from HITS (Deemed to be University), Chennai, in 2011 with a CGPA of 7.99, and earned his MCA from Andhra University in 2008 with a score of 74%. He also completed his B.Sc. in Computer Science from Andhra University in 2005, achieving a 71% score.

Experience 🏫

Dr. Kolli has over 13 years of teaching experience, currently serving as an Associate Professor at Shri Vishnu Engineering College for Women, Bhimavaram since June 2023. Prior to this role, he held positions such as Senior Assistant Professor at Aditya College of Engineering and Technology, and Assistant Professor at Koneru Lakshmaiah Education Foundation and Madanapalle Institute of Technology & Science, where he contributed significantly to curriculum development and student training.

Research Interests 🔍

Dr. Kolli’s research focuses on deep learning, privacy-enhanced technologies, fraud detection, and machine learning applications in various domains. His work seeks to leverage advanced algorithms to solve real-world problems, particularly in data security and intelligent systems.

Awards 🏆

Dr. Kolli was honored with the Best Teacher Award for the academic year 2019-20 at KLEF (Deemed to be University), Vijayawada. Additionally, he is a WIPRO Certified Faculty, having qualified in the Wipro Talent Next Global Certification in October 2020, showcasing his dedication to professional development in education.

Publications 📚

Dr. Kolli has a substantial publication record, including 16 journal articles and 13 conference publications, all indexed in SCOPUS. Notable publications include:

  1. Deep learning-based credit card fraud detection in federated learning
    • Authors: Venkata Krishna Reddy, V., Vijaya Kumar Reddy, R., Siva Krishna Munaga, M., Maddila, S.K., Sekhar Kolli, C.
    • Journal: Expert Systems with Applications
    • Year: 2024
    • Citations: 0
  2. Classification of defective product for smart factory through deep learning method
    • Authors: Raffik, R., Misra, P.K., Kolli, C.S., Chandol, M.K., Shukla, S.K.
    • Journal: AIP Conference Proceedings
    • Year: 2024
    • Citations: 0
  3. A review on machine learning in agricultural sciences
    • Authors: Rayalu, G.M., Farouq, K.M., Kolli, C.S., Herrera, A.P., Muhammad, R.S.
    • Journal: AIP Conference Proceedings
    • Year: 2024
    • Citations: 0
  4. Privacy enhanced course recommendations through deep learning in Federated Learning environments
    • Authors: Kolli, C.S., Seelamanthula, S., Reddy V, V.K., Reddy, M.R.K., Gumpina, B.R.
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Citations: 1
  5. Deep learning-based privacy-preserving recommendations in federated learning
    • Authors: Kolli, C.S., Krishna Reddy, V.V., Reddy, T.S., Dasari, D.B., Reddy, M.R.
    • Journal: International Journal of General Systems
    • Year: 2024
    • Citations: 2

His research has been widely cited, contributing to the academic community and enhancing knowledge in his areas of expertise.

Conclusion ✨

Dr. Chandra Sekhar Kolli continues to inspire students and colleagues alike with his commitment to teaching and research. With numerous accolades and a solid publication record, he stands out as a prominent figure in the field of Computer Science, making impactful contributions that pave the way for future advancements in technology.

Ali Reza ALAEI | Computer Science | Interdisciplinary Research Excellence Award

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Assist Prof Dr. Ali Reza ALAEI | Computer Science | Interdisciplinary Research Excellence Award

Faculty of Science and Engineering at Southern Cross University, Australia

Dr. Ali Reza Alaei is a PhD graduate specializing in computer science, focusing on Big Data analysis, sentiment extraction, image processing, and biometric systems. With a strong research background and extensive teaching experience, he is currently a Senior Lecturer at Southern Cross University, where he aims to lead impactful research projects and academic initiatives.

Profile 

Scopus profile

Education 🎓

Dr. Alaei obtained his PhD in Computer Science from the University of Mysore, India, in 2012, where his thesis focused on the “Automatic Segmentation of Persian Handwritten Texts Enabling Accurate Recognition.” He also earned a Master’s degree in Computer Science from the same institution in 2007, where he researched the “Recognition of Persian/Arabic Numerals Using Feature Reduction and Distance Measure.”

Experience 🧑‍🏫

With over 20 years of academic experience, Dr. Alaei has held various positions, including Senior Lecturer at Southern Cross University since January 2023 and Lecturer at the same institution from October 2018 to December 2022. His previous roles include Research Fellow at Griffith University, Postdoctoral Research Fellow at LI-RFAI in France, and PhD Scholar at the University of Mysore. His career has been marked by significant contributions to both teaching and research.

Research Interests 🔍

Dr. Alaei’s research interests encompass Big Data analysis, statistical data modeling, human perception modeling, image processing, document image analysis and recognition, and biometric authentication. He aspires to further explore sentiment analysis, human perception understanding, and intelligent technologies through machine learning and vision applications.

Awards 🏆

Dr. Alaei has received several academic honors, including ranking 113th in the national examination of Iranian Universities for B.Sc. entrance and achieving the second rank in his M.Sc. program. He was awarded the best paper award at the International Conference on Cognition and Recognition in 2008 and received accolades for his outstanding performance as a graduate student in India.

Publications 📚

Dr. Alaei has an extensive publication record with 29 journal articles, 39 conference papers, and a total of 70 publications. Some notable peer-reviewed articles include:

  1. Document Image Quality Assessment: A Survey – ACM Computing Survey, 2024. Cited by: 2432.
  2. Review of age and gender detection methods based on handwriting analysis – Neural Computing & Applications, 2023.
  3. Sentiment analysis in tourism: Capitalising on Big Data – Journal of Travel Research, 2019. Cited by: 564.
  4. Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data – Journal of Travel Research, 2022.

Conclusion ✅

Dr. Ali Reza Alaei is an accomplished researcher and educator, dedicated to advancing the fields of Big Data analysis, image processing, and biometrics. With a robust track record of research and teaching, he continues to contribute significantly to academia and the broader scientific community.

Guglielmo Vaccaro | Engineering | Best Researcher Award

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Mr. Guglielmo Vaccaro | Engineering | Best Researcher Award

PHD student, Università degli studi di Firenze, Italy

👤 Guglielmo Vaccaro, born on June 18, 1997, in Florence, is a dedicated researcher in the field of mechanical and energy engineering. With a passion for sustainable technologies, he is currently pursuing his PhD in Industrial Engineering, focusing on eco-friendly refrigeration solutions.

Publication Profile

Scopus

Education

🎓 Guglielmo holds a Bachelor’s degree in Mechanical Engineering (110/110 cum laude) and a Master’s degree in Energy Engineering with a specialization in machines (110/110 cum laude), both from the University of Florence. His thesis work centered on optimizing fluid systems for improved efficiency and sustainability. He is currently engaged in a PhD program, researching refrigeration with eco-compatible fluids.

Experience

💼 Guglielmo has gained valuable experience through his studies at the CNAM – Conservatoire National des Arts et Métiers, where he conducted experimental research on a CO2 and DME mixture chiller. His academic journey also includes participation in international conferences and collaborations with industry experts, strengthening his practical and theoretical knowledge.

Research Focus

🔍 Guglielmo’s research focuses on the development of refrigeration systems using eco-friendly fluids. He aims to improve the efficiency of cooling processes through innovative solutions, including the use of CO2-based mixtures, which contribute to reduced environmental impact.

Awards and Honours

🏅 Guglielmo has received recognition for his academic excellence, including honors during his Bachelor’s and Master’s degrees. His contributions to international conferences reflect his commitment to advancing knowledge in his field.

Publication Top Notes

📚 Guglielmo has authored several publications in peer-reviewed journals and international conferences, showcasing his research on energy systems and refrigeration technology. Below are some highlights:

Vaccaro, G., Milazzo, A., & Talluri, L. (2023). Thermodynamic assessment of trans-critical refrigeration systems utilizing CO2-based mixtures. International Journal of Refrigeration, 147, 61-70.

Pasqui, M., Vaccaro, G., Lubello, P., Milazzo, A., & Carcasci, C. (2023). Heat pumps and thermal energy storages centralised management in a Renewable Energy Community. International Journal of Sustainable Energy Planning and Management, 38, 65-82.

Vaccaro, G., Milazzo, A., & Talluri, L. (2024). A proposal for a non-flammable, fluorine-free, CO2-based mixture as a low TEWI refrigerant. International Journal of Refrigeration, 158, 157-163.

Experimental results on a chiller using a CO2-DME mixture. International Journal of Refrigeration (in publication).

Miin-Shen Yang | Computer Science | Best Researcher Award

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Prof Dr. Miin-Shen Yang | Computer Science | Best Researcher Award

Distinguished Professor,Chung Yuan Christian University, Taiwan

👨‍🏫 Miin-Shen Yang is a distinguished scholar and professor specializing in applied mathematics and artificial intelligence. He has made significant contributions to fuzzy clustering, machine learning, and soft computing. Currently serving as a Life Distinguished Professor at Chung Yuan Christian University (CYCU), Taiwan, Dr. Yang is highly regarded in the scientific community for his innovative research. He is also recognized among the top 0.5% of scholars globally by ScholarGPS and Stanford University’s Top 2% Scientists.

Publication Profile

ORCID

Strengths for the Award:

  1. Extensive Academic Background: Miin-Shen Yang has earned degrees in mathematics and statistics from prestigious institutions, with a Ph.D. from the University of South Carolina, USA. His long-standing association with Chung Yuan Christian University (CYCU), Taiwan, adds to his academic credibility.
  2. Research Impact: His research areas—statistics, clustering algorithms, fuzzy clustering, soft computing, pattern recognition, and machine learning—are crucial in modern scientific and technological advancements, especially in the AI-driven era.
  3. Global Recognition: Miin-Shen Yang’s inclusion in Stanford University’s Top 2% Scientists and ScholarGPS’s global top 0.5% demonstrates the international recognition of his work and significant contributions to artificial intelligence, image processing, and related fields.
  4. Editorial Roles: He served as an Associate Editor for IEEE Transactions on Fuzzy Systems and remains on the Editorial Board of Electronics (MDPI). These roles show his influence in shaping scientific discourse in his fields of expertise.
  5. Leadership in Academia: As a Distinguished Professor and previous Chairperson and Dean of the College of Science at CYCU, he has demonstrated not only research expertise but also leadership in academic governance.

Areas for Improvement:

  1. Broader Collaborations: While Miin-Shen Yang’s contributions are notable in the fields of applied mathematics and artificial intelligence, there could be a stronger emphasis on collaborative projects across interdisciplinary fields such as biostatistics or environmental data science, which are becoming increasingly critical for global research challenges.
  2. Applied Research and Industry Connections: Strengthening connections between his academic research and real-world industrial applications could further enhance the societal impact of his work, especially in sectors like healthcare, energy, or environmental sustainability where AI and machine learning are emerging as transformative tools.
  3. Public Engagement and Outreach: Additional efforts to disseminate his research through public engagement activities, workshops, or conferences that target both academic and non-academic audiences could raise the visibility and practical applicability of his findings.

Education

🎓 Miin-Shen Yang holds a B.S. in Mathematics from Chung Yuan Christian University (1977), an M.S. in Applied Mathematics from National Chiao-Tung University (1980), and a Ph.D. in Statistics from the University of South Carolina, Columbia, USA (1989).

Experience

💼 Dr. Yang joined CYCU in 1989 and became a Professor in 1994. He has held several key positions, including Department Chair, Director of the Chaplain’s Office, and Dean of the College of Science. He also served as a Visiting Professor at the University of Washington from 1997 to 1998.

Research Focus

🔬 Dr. Yang’s research interests span applications of statistics, fuzzy clustering, machine learning, soft computing, pattern recognition, and artificial intelligence. His contributions have significantly advanced clustering algorithms and AI-related technologies.

Awards and Honors

🏅 Dr. Yang has been recognized among Stanford University’s Top 2% Scientists and listed among ScholarGPS global top 0.5% scholars. He has also served as an Associate Editor for IEEE Transactions on Fuzzy Systems and is currently an Editorial Board Member for the journal Electronics.

Publications (Top Notes)

📚 Dr. Yang has published extensively on fuzzy clustering and artificial intelligence in leading journals. His works have been widely cited, marking his influence in the field.

“Fuzzy Clustering Algorithms and Applications” – Published in 2015 in Pattern Recognition Letters. Cited by 100+ articles

Conclusion:

Miin-Shen Yang is an exceptional candidate for the Research for Best Research Award, with a strong and diversified research portfolio in applied mathematics, artificial intelligence, and machine learning. His global recognition, academic leadership, and editorial contributions demonstrate his significant impact on the scientific community. While further strengthening his research collaborations across broader disciplines and emphasizing real-world applications could enhance his overall impact, his current achievements make him a highly competitive and deserving nominee for the award.

Jerry Zeyu Gao | Smart Cities Awards | Best Researcher Award

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Dr Jerry Zeyu Gao | Smart Cities Awards | Best Researcher Award

Dr Jerry Zeyu Gao, San Jose State University, United States

Dr. Jerry Gao is a Full Professor in the Department of Computer Engineering at San Jose State University. With over 20 years of academic and industry experience, Dr. Gao is renowned for his expertise in software engineering, cloud computing, and mobile technologies. He has significantly contributed to the development of innovative systems and solutions through successful R&D projects, securing substantial funding, and delivering impactful publications. His global teaching and consultancy work further showcase his influence in the field of computer engineering.

Publication Profile

Google Scholar

Strengths for the Award

  1. Extensive Research Output:
    • Jerry Gao has published over 200 referred publications, including IEEE and ACM journal papers and conference proceedings, demonstrating a robust research portfolio.
    • His work spans various critical areas such as cloud computing, mobile computing, big data, and software engineering, showing significant contributions to the field.
  2. Proven Impact in Industry:
    • Gao has led multiple industry R&D projects resulting in prototype systems and commercial products. This includes securing significant funding and bringing in $3,000,000 in proposals over three years.
    • His consultancy roles with notable companies like Fujitsu, HP, Huawei, and Cisco reflect his research’s practical impact and relevance.
  3. High-Quality Publications:
    • His publications include high-impact topics such as cloud testing, mobile application testing, and smart cities, with some papers receiving substantial citations.
    • He has authored three technical books and edited numerous proceedings and special journal issues, further showcasing his influence in the field.
  4. Diverse Teaching and Professional Experience:
    • Gao has taught and provided professional training in various prestigious institutions and corporations globally, demonstrating his expertise and the high regard in which his knowledge is held.
    • His involvement in professional courses at institutions like IBM and Huawei highlights his dedication to disseminating knowledge.
  5. Research Grants and Funding:
    • He has been a principal investigator and co-principal investigator for several significant research grants, including projects funded by the NSF, city government, and major research labs.
    • His ability to secure and manage substantial research funds illustrates his leadership and effectiveness in research management.

Areas for Improvement

  1. Broader Research Dissemination:
    • While Gao’s publications are extensive, expanding his research into interdisciplinary fields or emerging areas could enhance his impact and broaden his influence.
  2. Collaboration and Networking:
    • Increasing collaboration with international researchers and institutions could offer new perspectives and opportunities for research innovation.
  3. Focus on Emerging Technologies:
    • Although Gao’s research covers a broad spectrum, focusing on cutting-edge technologies such as artificial intelligence or quantum computing could further strengthen his research profile.

Education

Dr. Jerry Gao earned his Ph.D. in Computer Science and Engineering from The University of Texas at Arlington in 1995. He completed his M.S. in the same field at UT Arlington in 1989, and his B.S. in Computer Science from Nanjing University and HoHai University in 1981. His advanced education laid a strong foundation for his distinguished career in both academia and industry.

Experience

Dr. Gao has held various academic positions at San Jose State University since 1997, progressing from Adjunct Professor to Full Professor. His roles include significant international experience as a Visiting Professor at institutions such as Tsinghua University and Peking University. Additionally, he has extensive industrial experience, consulting for major companies like HP, Fujitsu, and Huawei, and leading impactful research projects in smart cities, cloud computing, and mobile services.

Awards and Honors

Dr. Gao has received several prestigious awards, including the Charles W. Davidson College of Engineering Faculty Award for Excellence in Scholarship (2013) and the KSI Fellow from Knowledge System Institute (2011). He has been recognized as a distinguished alum by the University of Texas at Arlington (2009) and has won multiple Best Paper Awards at international conferences, including MUE2009 and ICRE1998.

Research Focus

Dr. Gao’s research focuses on smart cities, cloud computing, and mobile technologies. His work in Big Data validation, SaaS testing, and mobile application testing addresses current technological challenges and drives innovation. He is particularly interested in the integration of these technologies to enhance system performance, reliability, and user experience in complex environments.

Publication Top Notes

Formal approach to scenario analysis

Testing and Quality Assurance for Component-Based Software

Change impact identification in object oriented software maintenance

Business-to-business e-commerce frameworks

Multistep-ahead time series prediction

Class firewall, test order, and regression testing of object-oriented programs

Class firewall, test order, and regression testing of object-oriented programs

Conclusion

Jerry Gao is a highly qualified candidate for the Best Researcher Award. His extensive publication record, significant industry impact, and successful acquisition of research grants demonstrate a high level of expertise and influence in his field. His ability to bridge the gap between academic research and industrial application, combined with his substantial contributions to software engineering and related domains, underscores his suitability for this award. Enhancing his focus on emerging technologies and broadening his collaborative efforts could further elevate his research profile. Overall, Gao’s achievements make him an exemplary candidate for the Best Researcher Award.

 

 

MOHAMMAD SHAHADAT | Industrial Technology | Best Researcher Award

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Assoc Prof Dr. MOHAMMAD SHAHADAT | Industrial Technology | Best Researcher Award

Senior Lecturer, Universiti Sains Malaysia, Malaysia

Assoc Prof Dr. Mohammad Shahadat, an esteemed figure in Industrial Technology, has been honored with the Best Researcher Award for his outstanding contributions. Serving as a Senior Lecturer at Universiti Sains Malaysia, Malaysia, Dr. Shahadat embodies excellence in academia and research. His pioneering work in Industrial Technology has significantly advanced the field, demonstrating a remarkable dedication to innovation and knowledge dissemination. Through his leadership and expertise, Dr. Shahadat continues to inspire and guide students and peers alike. 🏆 His accolades underscore his commitment to excellence and his profound impact on shaping the future of industrial technology

Profile

Scopus

Educational Background 🎓

Dr. Mohammad Shahadat earned his Ph.D. in Chemistry from Aligarh Muslim University, India, in 2011. His research focused on the synthesis, characterization, and properties of new ion exchange materials, showcasing his expertise in analytical chemistry. Prior to his doctorate, he completed his Master of Science and Bachelor of Science with Honours at the same institution.

Experience and Skills 💼

Dr. Shahadat possesses extensive experience in the design and development of various materials for environmental applications, including wastewater treatment and biomass conversion. His skills range from modifying resins to producing bioflocculants and employing vermicomposting technology. His expertise also extends to the treatment of pollutants using microbial fuel cell technology.

Professional Experience 🔬

Dr. Shahadat served as a Senior Lecturer at the School of Chemical Sciences, Universiti Sains Malaysia, from February 2021 to January 2024. Prior to this, he completed post-doctoral fellowships at Indian Institute of Technology Delhi and Universiti Sains Malaysia. He also gained teaching experience as a Guest Lecturer at Aligarh Muslim University.

Research Interests 🧪

Dr. Shahadat’s research interests encompass the synthesis and application of nanomaterials for environmental remediation, including the development of graphene-based adsorbents and clay/polymer nanocomposites. His work contributes to the advancement of sustainable solutions for wastewater treatment and pollution control.

Awards and Recognitions 🏅

Dr. Shahadat has received prestigious fellowships, including the DST Fast Track Young Scientist Project and Junior Research Fellowship from the Department of Science & Technology, India. He is a life member of the Chemical Research Society of India and an affiliate member of the International Union of Pure and Applied Chemistry.

Publications Top Notes

“Synthesis, Characterization, and Breakthrough Modeling of Low-Cost Graphene Oxide-Sand Supported Adsorbent Filter for the Separation of Lead and Chromium Ions” – 2024

“Development of PEG-Coated Iron Oxide Nanoparticles for the Oxidation of Adrenaline” – 2024

“Recent Advances of Clay/Polymer-Based Nanomaterials for the Treatment of Environmental Contaminants in Wastewater: A Review” – 2024

“Harvesting of Atmospheric Water Using Polymer-Based Hybrid Hydrogels: A Review” – 2023

“Tannase Production Using Green Biotechnology and Its Applications: A Review” – 2023

 

Md Enamul Hoque | Engineering | Best Researcher Award

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Dr. Md Enamul Hoque | Engineering | Best Researcher Award

Professor, Military Institute of Science and Technology (MIST), Bangladesh

Dr. Md Enamul Hoque, PhD from NUS, Singapore, brings a wealth of expertise to his role as Professor in the Department of Biomedical Engineering at the Military Institute of Science and Technology (MIST), Bangladesh. With additional qualifications including a PGCHE from Nottingham Uni, UK, and distinctions such as FHEA, FIMechE, and CEng from the UK, Dr. Hoque is dedicated to advancing engineering education and research. His commitment to excellence in academia and engineering is evident in his contributions to both teaching and research. 🎓

Profile

google scholar

orcid

Academic Qualifications

Dr. Md Enamul Hoque holds a PhD specializing in Biomaterials/Biomedical Engineering from the National University of Singapore (NUS), where he ranked among the top universities globally. His thesis, supervised by Prof Dietmar Hutmacher, focused on “Design and Development of Tissue Engineering Scaffolds Using Rapid Prototyping Technology.” Prior to his PhD, he completed an M.Eng. in Biomaterials/Biomedical Engineering at NUS, under the guidance of Prof Seeram Ramakrishna, renowned for his work in Materials Engineering. Dr. Hoque also earned a Post Graduate Certificate in Higher Education from the University of Nottingham, UK. His research has garnered significant citations, positioning him as a leading figure in bioprinting and materials engineering. 🏆

Awards/Honors

Dr. Md Enamul Hoque has been recognized as the highest publishing researcher/scientist at the Military Institute of Science and Technology (MIST), Dhaka, Bangladesh, as of March 13, 2023, a testament to his prolific contributions to academia. His dedication to research excellence was further acknowledged with the “Excellent Researcher Recognition” at MIST in February 3, 2022. Additionally, Dr. Hoque’s outstanding achievements in the field of nanoscience earned him the “Outstanding Nanoscientist Award” at the International Workshop on Recent Advances in Nanotechnology and Applications (RANA-2018), held at AMET University, Chennai, India, on September 7 – 8, 2018. 🏅

Research Devices/Systems Developed

Dr. Md Enamul Hoque spearheaded the development of a groundbreaking Desktop Robot Based Rapid Prototyping (DRBRP) System, tailored for fabricating 3D objects and scaffolds. 🤖 This innovative system promises swift and precise prototyping capabilities, revolutionizing the manufacturing process. Additionally, Dr. Hoque led the creation of a customized Electrospinning System, designed specifically for crafting nanofiber matrices and scaffolds. ⚡️ Leveraging cutting-edge technology, this system opens new avenues in nanotechnology and biomaterials research. Dr. Hoque’s pioneering work marks significant progress in advanced manufacturing techniques and holds immense potential for various industries, including biomedical engineering and materials science.

Publications Top Notes

Design, fabrication, and characterization of 3D-printed ABS and PLA scaffolds potentially for tissue engineering (2024) 🏗️ Authors: Rahatuzzaman, M., Mahmud, M., Rahman, S., & Hoque, M. E. Journal: Results in Engineering DOI: 10.1016/j.rineng.2023.101685

Synthesis, Properties, Applications, and Future Prospective of Cellulose Nanocrystals (2023) 🌱 Authors: Rashid, A.B.; Hoque, M.E.; Kabir, N.; Rifat, F.F.; Ishrak, H.; Alqahtani, A.; Chowdhury, M.E.H. Journal: Polymers DOI: 10.3390/polym15204070

Electrospun bio-nano hybrid scaffold from collagen, Nigella sativa, and chitosan for skin tissue engineering application (2023) 🔬 Authors: Alam MR, Shahid MA, Alimuzzaman S, Hasan MM, Hoque ME Journal: Journal of Bioactive and Compatible Polymers DOI: 10.1177/08839115231162365

Electroconductivity of Bacterial Cellulose and Bacterial Cellulose-Based Nanocomposites: Varieties, Processing and Applications (2023) ⚡️ Authors: Hoque, M. E., Hossain, M. S., Mim, I. Z., & Chowdhury, J. I. Journal: Kepes DOI: 10.5281/zenodo.7936583-65

3D bioprinting in the era of 4th industrial revolution – insights, advanced applications, and future prospects (2023) 🖨️ Authors: Bin Rashid, A., Uddin, A.S.M.N., Azrin, F.A., Saad, K.S.K. and Hoque, M.E. Journal: Rapid Prototyping Journal DOI: 10.1108/RPJ-02-2023-0041

A benign way of measuring hemoglobin in blood – Towards developing a non-invasive technique (2023) 🩸 Authors: Md Enamul Hoque, Sadia Mannan Shanta, Rhythem Tahrin, Saem Chowdhury, Zarin Tasnim, Md Abdul Alim Shuvo, Shifat Al Hasnayeen Riham Journal: Hybrid Advances DOI: 10.1016/j.hybadv.2023.100039

Gelatin-based scaffolds: An intuitive support structure for regenerative therapy (2023) 🍮 Authors: Adib Bin Rashid, Nazmir-Nur Showva, Md Enamul Hoque Journal: Current Opinion in Biomedical Engineering DOI: 10.1016/j.cobme.2023.100452

Chemical upcycling of plastics as a solution to the plastic trash problem for an ideal, circular polymer economy and energy recovery (2023) 🔬 Authors: Shashank Shekhar, Md Enamul Hoque, Pramendra Kumar Bajpai, Habibul Islam & Bhasha Sharma Journal: Environment, Development and Sustainability DOI: 10.1007/s10668-023-03003-8

Advanced biopolymers for automobile and aviation engineering applications (2023) 🚗 Authors: Md Zillur Rahman, Maliha Rahman, Tariq Mahbub, Md Ashiquzzaman, Suresh Sagadevan, Md Enamul Hoque Journal: Journal of Polymer Research DOI: 10.1007/s10965-023-03440-z

Structural Integrity and Performance of a Novel Chemically Treated Cellulosic Paper Corn / Polyester Sustainable Biocomposites (2023) 🌽 Authors: Faris AL-Oqla, Md Enamul Hoque Journal: Functional Composites and Structures DOI: 10.1088/2631-6331/acbf20