Bilal Ahmad MIr | Microbial Cell Biology | Best Researcher Award

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Mr.Bilal Ahmad MIr | Microbial Cell Biology | Best Researcher Award

Mr.Bilal Ahmad MIr | Jeonbuk National University | South Korea

Bilal Ahmad Mir is a dedicated Ph.D. scholar at the NSCL Lab, Jeonbuk National University, South Korea, with a strong focus on artificial intelligence, machine learning, and computational sciences. Born on May 7, 1993, Bilal has a diverse academic and research background encompassing data science, deep learning, computational biology, and chemistry. He combines technical acumen with innovative thinking to solve real-world scientific problems. Fluent in English, Urdu, and Kashmiri, Bilal’s research is published in leading international journals. He is well-versed in programming languages such as Python, R, MATLAB, and Java, and excels in cloud computing technologies. His scholarly contributions span predictive modeling, neural networks, and intelligent systems. His enthusiasm for technological advancements and interdisciplinary research positions him as a strong candidate for prestigious research awards, reflecting both his scientific rigor and passion for discovery.

Publication Profile:

Google Scholar

✅ Strengths for the Award:

  1. Interdisciplinary Expertise:
    Bilal’s work spans artificial intelligence, deep learning, computational biology, and chemistry, reflecting strong interdisciplinary depth. He has applied advanced ML models like CNNs, LSTMs, and GRUs across bioinformatics and synthetic chemistry, showing his adaptability and scientific creativity.

  2. Research Publications:
    He has published in high-impact journals such as Journal of Molecular Biology, Computational Biology and Chemistry, and Sustainability. These works demonstrate novelty and real-world relevance, e.g., sustainable solar energy prediction and enhancer identification in genomics.

  3. Technical Proficiency:
    Bilal is proficient in multiple programming languages (Python, R, MATLAB, Java, etc.) and research tools, which enhances his capability to design, implement, and optimize advanced computational models.

  4. Academic Progression:
    His academic journey from a B.Sc. through MCA to a Ph.D. in South Korea demonstrates commitment to continuous learning and global academic engagement.

  5. Early Research Experience:
    His MCA project on real-time facial recognition using Raspberry Pi and GSM modules showed practical innovation, integrating software and hardware for applied AI.

⚠️ Areas for Improvement:

  1. Citation and Impact Metrics:
    While Bilal has strong publications, more details on citations, h-index, or conference presentations would strengthen his profile for global competitive awards.

  2. Leadership in Projects:
    Future applications should highlight any mentoring, project leadership, or grant involvement, which are important indicators of research independence.

  3. Community Contribution:
    Participation in open-source contributions, academic societies, or organizing workshops/seminars would further showcase his community engagement and outreach efforts.

  4. Formal Language Polishing:
    Refinement in presenting his resume/CV with consistent formatting and professional tone would improve the impression in award submissions.

🎓 Education:

Bilal Ahmad Mir began his academic journey with a B.Sc. in Mathematics, Electronics, and IT from Sri Pratap College, Srinagar, graduating with 60% in 2016. He then pursued an MCA (Master of Computer Applications) at the Islamic University of Science and Technology, Awantipora, where he excelled in courses like algorithms, AI, ML, data structures, and cloud computing, graduating with a CGPA of 7.76/10 in 2019. He is currently enrolled as a Ph.D. scholar at Jeonbuk National University, South Korea, in the Department of Electronics and Information Engineering. His doctoral work at the NSCL Lab integrates deep learning, computational chemistry, and molecular biology, contributing to high-impact publications. His solid academic foundation and continued pursuit of knowledge equip him with the interdisciplinary expertise necessary to tackle complex computational and AI challenges in life sciences and beyond.

🧪 Experience:

Bilal’s academic and research journey spans across domains of intelligent systems, AI, and computational biology. During his MCA, he completed a dissertation on a real-time “Intelligent Face Recognition System” using Raspberry Pi and Eigenface recognition, integrating image processing with GSM modules. As a Ph.D. researcher at NSCL Lab in South Korea, he has been involved in multiple projects focusing on neural networks, such as CNNs, LSTMs, and GRUs, for bioinformatics and organic chemistry applications. His hands-on experience in deep learning, data preprocessing, and predictive modeling has resulted in several peer-reviewed journal publications. He is proficient in Python, MATLAB, R, and Java and is experienced with research tools used for analyzing genetic and chemical data. Bilal’s versatility across both hardware (e.g., Raspberry Pi) and software research platforms positions him as a highly capable and adaptable scientist in the interdisciplinary field of AI-powered scientific research.

🏆 Awards and Honors:

Bilal Ahmad Mir has received multiple accolades that highlight his academic potential and creative engagement in both academic and extracurricular domains. He secured the 1st rank in a national-level quiz competition organized during the Digital India Week in 2015, reflecting his strong grasp of technical knowledge and current affairs. During his post-graduate studies, he was honored with the title of “Mr. Fresher” for the MCA batch of 2016 at the Islamic University of Science and Technology, recognizing his leadership and interpersonal qualities. His growing contribution to impactful scientific research has earned him recognition among academic peers. With peer-reviewed publications in top-tier journals and ongoing contributions to AI-driven biological and chemical modeling, Bilal is on a trajectory of continued academic success. These honors reflect both his intellect and his dedication to continuous learning and innovation, making him a strong contender for prestigious awards such as the Best Researcher Award.

🔬 Research Focus:

Bilal Ahmad Mir’s research focus lies at the confluence of artificial intelligence, deep learning, and life sciences. He applies cutting-edge machine learning techniques—particularly CNNs, LSTMs, and GRUs—to computational biology and chemistry, aiming to solve intricate molecular problems. His key research areas include enhancer identification, RNA modification prediction, and retrosynthetic pathway modeling. Through deep learning architectures and stacked ensemble models, he enhances the accuracy of biological predictions and synthesis pathway generation. His recent work also explores sustainable energy research, applying AI to predict recombination losses in perovskite solar cells. Bilal’s interdisciplinary work is distinguished by its practical application to genomics, cheminformatics, and renewable energy, blending technical rigor with scientific curiosity. His aim is to use AI not only for theoretical insights but also for impactful innovations in healthcare, sustainable energy, and synthetic biology. This makes him a versatile and forward-thinking researcher in the modern AI landscape.

📚 Publication Titles Top Notes:

  1. 🧬 Improving enhancer identification with a multi-classifier stacked ensemble model – Journal of Molecular Biology, 2023

  2. 🔄 Sb-net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis – Computational Biology and Chemistry, 2024

  3. 🔋 Toward Sustainable Solar Energy: Predicting Recombination Losses in Perovskite Solar Cells with Deep Learning – Sustainability, 2025

  4. 🧪 GRU-Based Prediction of RNA 5-Hydroxymethylcytosine Modifications – 정보 및 제어 논문집

🧾 Conclusion:

Bilal Ahmad Mir is a highly promising and emerging researcher in the AI-bioinformatics interface. His dedication to interdisciplinary research, proven publication record, and hands-on approach to complex problems make him a strong candidate for the Best Researcher Award. With ongoing contributions, especially in deep learning for biology and sustainable energy, and with slight enhancements in scientific communication and visibility, he is on a trajectory toward impactful global research leadership.

Mohammad Rezaul Islam Shishir | Cell Structure Analysis | Best Researcher Award

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Dr. Mohammad Rezaul Islam Shishir | Cell Structure Analysis | Best Researcher Award

Dr. Mohammad Rezaul Islam Shishir , Jiangsu University , China

Dr. Mohammad Rezaul Islam Shishir is an accomplished researcher in the field of food science and engineering, specializing in food bioactive compounds, micro and nano-encapsulation, and functional food formulation. With a strong academic background and extensive research experience, he has contributed significantly to developing advanced delivery systems for bioactive compounds. His research focuses on enhancing the stability, bioavailability, and controlled-release properties of natural products. Currently serving as a Postdoctoral Researcher at Jiangsu University, China, Dr. Shishir has received prestigious awards, including the Jiangsu Provincial Excellent Postdoctoral Award. His groundbreaking research in nanoliposomal delivery and food-based smart carriers has led to numerous high-impact publications in renowned journals. His dedication to innovation and scientific advancement makes him a prominent figure in food science, contributing to both academia and the food industry.

Publication Profile:

Scopus

Strengths for the Award:

✅ Extensive Research Experience – Dr. Shishir has a strong background in food science, particularly in nano-encapsulation and functional food development.
✅ High-Impact Publications – His research has been published in top-tier journals such as Food Chemistry, Food Hydrocolloids, and Comprehensive Reviews in Food Science and Food Safety, with impact factors reaching up to 15.1.
✅ Innovative Research – His work on nanoliposome-based drug delivery and cold plasma-assisted food processing has significantly contributed to food science advancements.
✅ Recognized Excellence – Awarded the Jiangsu Provincial Excellent Postdoctoral Award (2023ZB876), highlighting his contributions to scientific innovation.

Areas for Improvement:

🔹 Interdisciplinary Collaboration – Expanding research collaborations across medical and pharmaceutical fields could further enhance the practical applications of his work.
🔹 Patent & Commercialization – Translating research findings into patents and commercial food products would increase real-world impact.
🔹 Leadership in Grant Projects – Leading large-scale international grants and mentorship programs could elevate his recognition in the global research community.

Education 🎓

Dr. Mohammad Rezaul Islam Shishir has an extensive educational background in food engineering and food science. He completed his PhD in Food Science (2016–2020) from Zhejiang University, China, where he focused on improving the stability and functionality of nanoliposome-based delivery systems. His MSc in Food Engineering (2013–2016) was earned from Universiti Putra Malaysia, Malaysia, where he specialized in advanced food processing techniques. Dr. Shishir began his academic journey with a BSc in Food and Process Engineering (2007–2011) from Hajee Mohammad Danesh Science & Technology University, Bangladesh. His studies have equipped him with expertise in food bioactive compounds, nano-encapsulation, and smart delivery systems for functional foods. His academic training, combined with hands-on research, has positioned him at the forefront of food innovation, working towards the development of efficient and sustainable food processing technologies.

Experience 👨‍🔬

Dr. Mohammad Rezaul Islam Shishir is currently a Postdoctoral Researcher (June 2023 – Present) at the School of Food and Biological Engineering, Jiangsu University, China. His research focuses on developing nanoliposome-embedded double-network composite hydrogel beads for gastrointestinal delivery of quercetin. During his PhD at Zhejiang University, he contributed to two major projects: nanoliposomal delivery systems and cold plasma-assisted drying of shiitake mushrooms. His expertise extends to food bioactive compounds, micro and nano-encapsulation, and functional food formulations. Throughout his career, Dr. Shishir has developed novel nanofiber solosomes, complex coacervates, emulsions, and lipo-beads for improved bioavailability and stability of bioactive compounds. His work has led to significant advancements in the controlled-release delivery of natural compounds in food products, making his research highly valuable for both academia and industry.

Awards & Honors🏆

Dr. Mohammad Rezaul Islam Shishir has been recognized for his outstanding contributions to food science research. He was awarded the prestigious Jiangsu Provincial Excellent Postdoctoral Award (2023ZB876) in 2023, offered by the Jiangsu Provincial Party Committee, Department of Human Resources and Social Security, and Department of Finance, China. This award, valued at 300,000 CNY (~$41,600), is a testament to his remarkable research achievements in functional food formulation and nanotechnology-based delivery systems. His innovative approaches to enhancing bioactive compound stability and bioavailability have been widely acknowledged in the scientific community. His dedication to advancing food science, coupled with his contributions to high-impact research, make him a strong candidate for prestigious research awards.

Research Focus 🔬

Dr. Mohammad Rezaul Islam Shishir’s research focuses on food bioactive compounds, micro and nano-encapsulation, and functional food development. He specializes in fabricating nanoliposomes, nanofibers, microbeads, emulsions, and lipo-beads to improve the stability, bioavailability, and controlled-release of natural compounds. His work also includes the synthesis of functional biopolymers for surface coating and cross-linking to develop smart delivery systems for bioactive ingredients. His projects have explored the use of lactoferrin, chia seed mucilage, and pectin-chitosan nanoliposomes for improved nutrient absorption and targeted delivery in the human body. By integrating cutting-edge techniques such as stimuli-responsive carriers and cold plasma technology, Dr. Shishir’s research aims to revolutionize the food and nutraceutical industries by ensuring better stability, enhanced functionality, and improved consumer health benefits.

Publications Top Notes 📚

1️⃣ Lactoferrin-chia seed mucilage complex coacervates for intestinal delivery of quercetin and fortification of set yogurt – Food Chemistry (2024)
2️⃣ Micro and nano-encapsulated natural products in yogurt: An emerging trend to achieve multifunctional benefits in product quality and human health – Food Hydrocolloids (2024)
3️⃣ Seed mucilage carrier systems for food and nutraceuticals: fabrication, formulation efficiency, recent advancements, challenges, and perspectives – Critical Reviews in Food Science and Nutrition (2023)
4️⃣ Advances in smart delivery of food bioactive compounds using stimuli-responsive carriers – Comprehensive Reviews in Food Science and Food Safety (2021)
5️⃣ Development and evaluation of a novel nanofibersolosome for enhancing the stability, in vitro bioaccessibility, and colonic delivery of cyanidin-3-O-glucoside – Food Research International (2021)
6️⃣ Improving the physicochemical stability and functionality of nanoliposome using green polymer for the delivery of pelargonidin-3-O-glucoside – Food Chemistry (2021)
7️⃣ Colonic delivery of pelargonidin-3-O-glucoside using pectin-chitosan-nanoliposome: Transport mechanism and bioactivity retention – International Journal of Biological Macromolecules (2020)
8️⃣ Pectin-chitosan conjugated nanoliposome as a promising delivery system for neohesperidin – Food Hydrocolloids (2019)
9️⃣ Liposomal delivery of natural products: A promising approach in health research – Trends in Food Science & Technology (2019)
🔟 Cold plasma pretreatment – A novel approach to improve the hot air-drying characteristics and nutritional attributes of shiitake mushroom – Drying Technology (2019)

Conclusion

Dr. Mohammad Rezaul Islam Shishir’s expertise in food bioactive compounds, nano-encapsulation, and functional foods positions him as a highly deserving candidate for the Best Researcher Award. His publications in high-impact journals, combined with his innovative research on food delivery systems and bioactive compound stability, make him an outstanding researcher in his field. Strengthening industry collaborations and expanding his influence in applied food science would further solidify his legacy.