Banothu Somanna | Engineering | Best Researcher Award

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Mr. Banothu Somanna | Engineering | Best Researcher Award

Mr. Banothu Somanna | Maulana Azad National Institute of Technology, Bhopal | India

Mr. Banothu Somanna is a Research Scholar in Power Systems and Power Electronics at Maulana Azad National Institute of Technology, Bhopal. He holds an M.Tech in Power Systems from NIT Patna and a B.Tech in Electrical & Electronics Engineering from JNTUH. His research focuses on renewable energy integration, microgrids, fault detection, and EV charging systems, with publications in SCIE and Scopus-indexed journals, and contributions as an IEEE conference reviewer.

Profiles

Scopus 
orcid 
Google Scholar

Early Academic Pursuits

Mr. Banothu Somanna laid a strong academic foundation in Electrical and Electronics Engineering with his B. Tech from Ellenki College of Engineering and Technology, Hyderabad, affiliated with JNTUH. He further advanced his expertise by completing an M. Tech in Power Systems from the National Institute of Technology, Patna. Currently, he is pursuing his Ph.D. in Power Systems and Power Electronics from Maulana Azad National Institute of Technology, Bhopal. His early academic journey reflects dedication to mastering core electrical engineering principles and advancing into research-driven specializations.

Professional Endeavors

With over five years of professional experience, Somanna has established himself in both academia and industry. He has served as a Research Fellow in the Department of Electrical Engineering at MANIT, Bhopal, for four years, contributing to cutting-edge projects. Additionally, he gained practical exposure through a Graduate Apprenticeship at Bharat Dynamics Limited, Hyderabad. His professional journey blends theoretical research and industrial application, making him well-versed in both fields.

Contributions and Research Focus

Somanna’s research contributions are remarkable in the fields of microgrids, renewable energy integration, fault detection, and power electronics. His works include Q1 and Q2 SCIE-indexed publications in reputed journals such as Scientific Reports and SN Computer Science. He has proposed optimized fault detection algorithms, AI-based solutions for hybrid grids, and efficient DC-DC converter designs for EV charging. His focus on resilience, reliability, and optimization in power systems underlines his commitment to addressing modern energy challenges.

Impact and Influence

His research has significantly impacted the areas of renewable energy, microgrid stability, and electric mobility. By introducing advanced algorithms, AI techniques, and optimization methods, he has influenced both academic studies and real-world applications. His role as a reviewer for international IEEE conferences further demonstrates his influence in shaping scholarly dialogue. Somanna’s work is poised to contribute to the future of sustainable power systems and e-mobility solutions.

Research Skills

Somanna possesses strong technical and analytical skills in Artificial Intelligence, Optimization, MATLAB, PSIM, SIMULINK, and Power Simulator tools. His proficiency in simulation, mathematical modeling, and performance analysis enables him to develop innovative solutions for hybrid microgrids, DC fault detection, and EV charging systems. These skills reflect his ability to bridge theoretical models with practical engineering challenges.

Awards and Honors

Somanna’s academic excellence is recognized through his appointments as a Reviewer for IEEE conferences, including the 3rd IEEE International Conference on Electrical Power and Energy Systems (ICEPES 2024) and the IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE 2025). His research papers are published in high-impact journals (SCIE, Scopus indexed) and have gained visibility in the global research community, reflecting his academic recognition and citations.

Legacy and Future Contributions

With a solid foundation in renewable energy systems, power quality, and AI-driven smart grids, Banothu Somanna is positioned to create a lasting legacy in the electrical engineering domain. His future contributions are likely to focus on sustainable energy systems, optimization of microgrids, and advanced EV infrastructure. By integrating emerging technologies with power engineering, he aims to drive innovations that address global energy challenges, leaving a meaningful impact on academia, industry, and society.

Publications Top Notes

Design and analysis of a high-efficiency bi-directional DAB converter for EV charging

Journal: Scientific Reports, Volume 14 (1), Article 23764

Year: 2024

Authors: J. Rajender, M. Dubey, Y. Kumar, B. Somanna, M. Alshareef, B. Namomsa, …

Citations: 5

ANN based Solar MPPT for BLDC Motor load using Bidirectional Converter

Conference: 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS)

Year: 2023

Authors: P. Mandre, B. Somanna, S. Gupta, S. Nema

Citations: 3

Effect of parameter optimization on the performance of FSFCL and CB

Conference: 2020 IEEE Students Conference on Engineering & Systems (SCES), pp. 1–6

Year: 2020

Authors: B. Somanna

Citations: 3

Renewable Resources and Energy Management: Proceedings of the International Conference on Innovation in Energy Management & Renewable Resources (IEMRE 2022)

Publisher: CRC Press (Book Chapter)

Year: 2023

Authors: S. Chakrabarti, A.K. Bar, S. Chowdhuri, D. Jana, N. Chakraborty, S. Mondal, B. Somanna, …

Citations: 2

Review of optimized FSFCL effects on the transient recovery voltage of a circuit breaker at 550 kV

Conference: 2021 IEEE 2nd International Conference On Electrical Power and Energy Systems (ICEPES)

Year: 2021

Authors: B. Somanna, S. Gupta

Citations: 1

Conclusion

Mr. Banothu Somanna is an emerging scholar whose academic excellence, professional experience, research contributions, and technical expertise make him a valuable asset to the field of power systems and renewable energy. His commitment to innovation, sustainability, and knowledge dissemination positions him as a promising researcher and future leader in the domain of electrical engineering and energy technologies.

Brij Bhushan Sharma | Engineering | Best Researcher Award

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Dr. Brij Bhushan Sharma | Engineering | Best Researcher Award

Dr. Brij Bhushan Sharma | Shoolini University of Biotechnology and Management Sciences | India

Dr. Brij Bhushan is an accomplished Assistant Professor at Shoolini University of Biotechnology and Management Sciences, Solan, India, specializing in the Internet of Things (IoT), Embedded Systems, and Wireless Sensor Networks. With over a decade of academic and research experience, he has made significant contributions to smart agriculture, healthcare technologies, and communication systems through impactful research and innovation. He has authored numerous publications in Scopus and WoS indexed journals, written a book, and holds multiple patents. Dedicated to integrating innovation into teaching and research, Dr. Bhushan is committed to advancing technology-driven solutions that address global challenges.

Profiles

Scopus 
Orcid 
Google Scholar 

Education

Dr. Brij Bhushan pursued his academic journey with excellence in Electronics and Communication Engineering. He earned his Ph.D. in 2022 from Shoolini University, focusing on the design and implementation of IoT in agriculture to enhance food and farming technologies. Earlier, he completed his M.Tech in Electronics and Communication Engineering at Shoolini University and his B.Tech in the same discipline from Swami Parmanand Engineering College, Punjab. His foundation was laid with a Diploma in Electronics and Communication Engineering from Longowal Polytechnic College. His educational pathway reflects a consistent pursuit of innovation in IoT and communication technologies.

Professional Experience

Dr. Brij Bhushan has been serving as an Assistant Professor at Shoolini University since 2019, where he mentors students, develops IoT-based curricula, and leads innovative research initiatives. Previously, he worked as a Teaching Assistant at the same university, supporting academic delivery and tutoring. His career began as a Technical Instructor, where he gained valuable experience in student engagement, training, and applied research. With expertise in IoT and Embedded Systems, he has introduced specializations in B.Tech programs, published extensively, and contributed to the university’s academic and research excellence. His teaching combines innovation, mentorship, and applied learning.

Research Focus

Dr. Brij Bhushan’s research focuses on the Internet of Things (IoT), Embedded Systems, Wireless Sensor Networks, and Communication Systems, with a strong emphasis on real-world applications in agriculture, healthcare, and smart technologies. His work explores intelligent IoT-based solutions for crop monitoring, irrigation systems, renewable energy, and sustainable farming. Additionally, he investigates AI-driven plant disease detection, IoT-blockchain integration for data security, and smart healthcare devices. With over 25 Scopus/WoS-indexed publications, patents, and international conference presentations, his research advances digital agriculture, healthcare innovations, and communication systems, bridging the gap between academia, industry, and society.

Awards and Honors

Dr. Brij Bhushan has earned numerous accolades for his academic and research contributions. He is a granted patent holder in multiple IoT and smart device innovations, with recognition for his pioneering work in smart agriculture and embedded systems. He received appreciation from IIT Kharagpur as a System Administrator and A-View Coordinator during national workshops, and multiple awards for organizing technical events at Shoolini University. As an Innovation Ambassador (Advanced Level) under the Ministry of Education, Govt. of India, he has also served as a Primary Evaluator at Toycathon 2021. His global recognition includes roles as reviewer, TPC member, and international committee member.

Publications Top Notes

A CNN model: earlier diagnosis and classification of Alzheimer disease using MRI

Authors: AW Salehi, P Baglat, BB Sharma, G Gupta, A Upadhya

Journal/Conference: 2020 International Conference on Smart Electronics and Communication (ICOSEC)

Citations: 173

IoT-Based Intelligent Irrigation System for Paddy Crop Using an Internet-Controlled Water Pump

Authors: BB Sharma, N Kumar

Journal/Conference: International Journal of Agricultural and Environmental Information Systems

Citations: 54

Applicability Of Wireless Sensor Networks & IoT In Saffron & Wheat Crops: A Smart Agriculture Perspective

Authors: MW Rasooli, B Bhushan, N Kumar

Journal/Conference: Conference Publication (details missing from snippet, likely in Smart Agriculture proceedings)

Citations: 51

Applications of artificial intelligence in smart agriculture: a review

Authors: R Sharma, N Kumar, BB Sharma

Journal/Conference: Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 1

Citations: 37

Implementation of an automated irrigation system for agriculture monitoring using IoT communication

Authors: D Rani, N Kumar, B Bhushan

Journal/Conference: 2019 5th International Conference on Signal Processing, Computing and Control (ISPCC)

Citations: 24

Opportunities and challenges with WSN’s in smart technologies: A smart agriculture perspective

Authors: N Kumar, B Sharma

Journal/Conference: Handbook of Wireless Sensor Networks: Issues and Challenges in Current Era

Citations: 20

Internet of things-based hardware and software for smart agriculture: A review

Authors: BB Sharma, N Kumar

Journal/Conference: Proceedings of ICRIC 2019: Recent Innovations in Computing

Citations: 20

Internet of Things‐Based Crop Classification Model Using Deep Learning for Indirect Solar Drying

Authors: BB Sharma, G Gupta, P Vaidya, S Basheer, FH Memon, RN Thakur

Journal/Conference: Wireless Communications and Mobile Computing

Citations: 17

COVID-19: automated detection and monitoring of patients worldwide using machine learning

Authors: G Gupta, AW Salehi, B Sharma, N Kumar, Sonia, P Vaidya

Journal/Conference: Modeling, Control and Drug Development for COVID-19 Outbreak Prevention

Citations: 14

Arduino based LPG leakage detection and prevention system

Authors: BB Sharma, P Vaidya, N Kumar, CC Chen, R Sharma, RP Dwivedi, …

Journal/Conference: 2021 8th International Conference on Computing for Sustainable Global Development

Citations: 14

IoT: the Current Scenario and Role of Sensors Involved in Smart Agriculture

Authors: NK Harshit Bhatt, Brij Bhushan Sharma

Journal/Conference: International Journal of Recent Technology and Engineering

Citations: 14

Conclusion

Dr. Brij Bhushan exemplifies academic innovation and research excellence in IoT and smart technologies. With a strong academic background, diverse teaching experience, and groundbreaking research, he has emerged as a thought leader in digital agriculture, healthcare innovation, and embedded systems. His extensive portfolio of publications, patents, and collaborative projects reflects his commitment to solving practical challenges with technology. As an educator, mentor, and researcher, Dr. Bhushan continues to inspire students and colleagues alike, while his pioneering contributions strengthen the link between academia, industry, and society. He remains dedicated to driving impactful innovation for a sustainable future.

Dhanush Manikandan | Engineering | Best Researcher Award

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Mr. Dhanush Manikandan | Engineering | Best Researcher Award

Mr. Dhanush Manikandan, Kumaraguru college of technology, India.

Dhanush Manikandan is a motivated engineering professional with a B.E. in Aeronautical Engineering from Kumaraguru College of Technology. With 1.5 years of internship experience in Computational Fluid Dynamics (CFD) and Part Modeling, he has worked on cutting-edge projects involving ducted drones and micro gas turbines. Dhanush has published research in leading journals and holds certifications in Advanced NDT Testing and Composite Manufacturing. 🌟 He is passionate about aerodynamics and aerospace research. ✈️

👨‍🎓Profile

🎓 Early Academic Pursuits

Dhanush Manikandan is currently pursuing a B.E. in Aeronautical Engineering at Kumaraguru College of Technology, Coimbatore, with an impressive CGPA of 8.4. He has also completed a minor in Cybersecurity, broadening his technical acumen.

🧪 Professional Endeavors

With 1.5 years of internship experience, Dhanush has worked with leading organizations such as Exaslate (Remote), Next Leap Aeronautics (Hybrid), and KCIRI (Onsite). His work revolved around CFD simulation, dynamic mesh analysis, and aerospace component design.

🔬 Contributions and Research Focus On Engineering 

Dhanush focuses on Computational Fluid Dynamics (CFD), structural integrity, and aerodynamics. His design innovations include a double-ducted drone, and he is actively engaged in projects exploring propeller performance, gust load dynamics, and vibro-structural behavior.

🌍 Impact and Influence

His interdisciplinary research has been recognized through publication in reputed journals. These include Results in Engineering Journal and a submission to Ain Shams Engineering Journal, reflecting the academic value of his work in advancing drone technology and CFD applications.

🧠 Research Skills

  • CFD Analysis using ANSYS Fluent and OpenFOAM

  • Turbomachinery Simulation with Ansys Turbo-Workflow

  • Propeller & Wing Performance Testing

  • ML Modeling in fluid dynamics

🏅 Awards and Honors

  • MGS Award for academic performance

  • Best Volunteer Award from Aeromodelling Club of KCT

  • Volunteer for CFD course by Exaslate

🔮 Legacy and Future Contributions

Dhanush aims to continue advancing the field of aerospace through cutting-edge CFD techniques, innovative drone designs, and R&D in turbomachinery. His dedication to academic excellence and hands-on engineering solutions ensures a lasting impact on the future of aerial systems.

Publications Top Notes

Investigation of Advanced Propellers for Augmented Aerodynamics and Vibro-Structural Integrity in Complex Double-Ducted Drones: An Interdisciplinary Approach 🚁

Ramana Raja Buddala | Engineering | Excellence in Research Award

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Dr. Ramana Raja Buddala | Engineering | Excellence in Research Award

Dr. Ramana Raja Buddala, IIT Bombay, India.

Dr. Ramana Raja Buddala is a Ph.D. candidate at IIT Bombay, specializing in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His research focuses on damage detection in composite honeycomb sandwich structures using ultrasonic guided waves. With a background in Structural Engineering (M.Tech from IIT Kharagpur), his work integrates AI and ML applications in SHM. Dr. Buddala has published extensively in leading journals such as Scientific Reports and Smart Materials and Structures. His expertise in signal processing, AI, and mentoring students demonstrates his significant contributions to the field of structural engineering and his commitment to academic excellence.

👨‍🏫Professional Profile:

🌟Suitability for Best Researcher Award

Dr. Ramana Raja Buddala is an exceptional candidate for the Excellence in Research Award, possessing a strong academic foundation and a diverse range of research interests, particularly in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His doctoral work at IIT Bombay, focused on damage detection in honeycomb composite sandwich structures using ultrasonic guided wave propagation, highlights his innovative approach and advanced technical expertise. With over five publications in reputable journals and conference proceedings, Dr. Buddala has made significant contributions to the field, including the integration of AI and ML techniques in SHM applications. He is well-versed in advanced signal processing, ultrasonic testing, and finite element modeling, alongside proficiency in programming languages like MATLAB and Python. Dr. Buddala has demonstrated mentoring capabilities and has also contributed to academia through teaching roles at various institutes.

🎓 Educational Background:

Dr. Ramana Raja Buddala completed his Ph.D. at IIT Bombay (2019–2024), where his research focused on the damage detection and assessment of honeycomb composite sandwich structures using ultrasonic guided wave propagation. Prior to his doctoral studies, he earned an M.Tech in Structural Engineering from IIT Kharagpur (2006–2011), where he worked on improving the delamination resistance capacity of sandwich composite columns. Dr. Buddala also completed his B.Tech in Civil Engineering from IIT Kharagpur through a dual-degree program, gaining a solid foundation in engineering principles that supported his subsequent research and academic career.

💼 Professional Experience:

Dr. Ramana Raja Buddala has extensive teaching and industrial experience. As a Teaching Assistant at IIT Bombay from 2019 to 2024, he contributed to courses such as Non-Destructive Testing of Materials and Structural Mechanics. Previously, he taught at NIT-AP and ANITS, covering subjects like Concrete Technology and Structural Analysis. In industry, Dr. Buddala worked as a Structural Engineer at NMDC and United Gulf Construction Consortium, where he gained hands-on experience in large-scale projects like an 8-lane expressway and a 1.2 MTPA pellet plant. His diverse background bridges academic excellence and practical engineering applications.

🌍Research Contributions On Engineering 

Dr. Buddala’s work on the non-destructive evaluation of composite materials, including his contributions to the development of unsupervised deep learning frameworks for temperature-compensated damage assessment, highlights his innovative approach to SHM. His pioneering research on the interaction between ultrasonic-guided waves and structural damage has advanced the understanding of damage detection techniques, which are crucial for industries relying on composite and metallic structures. With multiple publications in top-tier journals, including Scientific Reports and Smart Materials and Structures, his contributions have established him as a thought leader in his field.

💡Recognition and Impact:

Dr. Ramana Raja Buddala has made significant contributions to the field of Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE), earning recognition for his innovative research on damage detection in composite structures using ultrasonic guided waves. His work has been published in prestigious journals, such as Scientific Reports and Smart Materials and Structures, highlighting the impact of his findings on both academia and industry. Dr. Buddala’s application of AI and ML in SHM has opened new avenues for advanced structural assessments. His mentorship and technical expertise have influenced numerous students, enhancing the broader engineering community’s research capabilities.

Conclusion:

Dr. Ramana Raja Buddala’s impressive blend of academic achievements, impactful research, hands-on experience with cutting-edge technologies, and dedication to mentorship underscores his eligibility for the Excellence in Research Award. His continued contributions to the fields of structural engineering and health monitoring through innovative methodologies make him a deserving candidate for this prestigious recognition.

 

📚Publication Top Notes

Multi-stage guided wave technique for estimating the shape and size of multiple damages in honeycomb sandwich structures

Journal: Measurement

DOI: 10.1016/j.measurement.2025.116724

Year: 2025 📅

Contributors: Ramana Raja Buddala, Rohan Soman, Siddharth Tallur, Sauvik Banerjee

The effect of temperature on guided wave signal characteristics in presence of disbond and delamination for health monitoring of a honeycomb composite sandwich structure with built-in PZT network

Journal: Smart Materials and Structures

DOI: 10.1088/1361-665X/ace40b

Year: 2023 📅

Contributors: Ramana Raja B, Sheetal Patil, Pankhi Kashyap, Siddharth Tallur, Sauvik Banerjee

 

 

 

Abdulkadir Yusif Maigoro | Biology | Excellence in Research

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Dr. Abdulkadir Yusif Maigoro | Biology| Excellence in Research

Dr. Abdulkadir Yusif Maigoro, Incheon National University ,South Korea.

Dr. Abdulkadir Yusif Maigoro is a distinguished computational biologist with a passion for unraveling the complexities of genomics and molecular biology. He is currently a Postdoctoral Researcher at the Convergence Research Center for Insect Vectors, Incheon National University, South Korea. Dr. Maigoro holds a Ph.D. in Molecular Biotechnology from Chungnam National University and an M.Sc. in Molecular Genetics from COMSATS University, Pakistan. His research focuses on genomic and transcriptomic studies, molecular docking, and genome assembly, with applications in insect vector biology and disease modeling. He has contributed significantly to understanding biotic and abiotic factors affecting mosquitoes and honeybees, as well as exploring gene expression in developmental biology. With numerous conference presentations, awards, and publications under review, Dr. Maigoro’s work demonstrates his commitment to advancing science and addressing global challenges. His goal is to leverage computational biology to uncover novel insights into disease genetics and molecular mechanisms.

Professional Profile:

Summary of Suitability for Excellence in Research:

Abdulkadir Yusif Maigoro, Ph.D., is a highly skilled computational biologist with a strong focus on genomic, transcriptomic, and molecular docking data, particularly related to mosquitoes and honeybees. His research spans diverse areas, including Autism, Depression, Cancer, Diabetes, and gene expression analysis, showcasing his expertise in bioinformatics and molecular biology. He has a strong track record of research experience at notable institutions such as Incheon National University and Chungnam National University, where he worked on cutting-edge projects involving disease genetics, molecular functions, and computational biology. Maigoro has presented his findings at prestigious international conferences and received multiple awards for his research, including Best Poster Awards at the International Conference on Insect Epidemiology (2023) and the Korean Society for Insect Vectors (2023). His dedication to advancing scientific knowledge, particularly in computational biology and bioinformatics, positions him as a highly suitable candidate for excellence in research.

🎓 Education:

Dr. Abdulkadir Yusif Maigoro has an impressive educational background that underpins his expertise in computational biology and molecular biotechnology. He earned his Ph.D. in Molecular Biotechnology from Chungnam National University, South Korea, in 2023, where he conducted cutting-edge research on genomic and transcriptomic studies. He completed his M.Sc. in Molecular Genetics at COMSATS University, Pakistan, in 2018, gaining a solid foundation in genetic analysis and biotechnology. His academic journey began with a B.Sc. in Applied Biology from Bayero University, Kano, Nigeria, in 2014. This diverse and comprehensive education has equipped Dr. Maigoro with the skills to tackle complex biological challenges.

💼Professional Experience:

Dr. Abdulkadir Yusif Maigoro has a diverse professional background, combining research and teaching in molecular biology and bioinformatics. Currently, he is a Postdoctoral Researcher at the Convergence Research Center for Insect Vectors, Incheon National University, where he investigates genomic and transcriptomic data related to insect vectors. Previously, he served as a Research Assistant at Chungnam National University, contributing to molecular cancer and cell biology studies. He has also worked as a lecturer at NobleKinmart Online Diploma College, teaching bioinformatics. Earlier in his career, he held roles in biological research and diagnostics, showcasing his dedication to advancing scientific understanding.

🌍Research Contributions:

Dr. Abdulkadir Yusif Maigoro’s research contributions span across several critical areas of computational biology, particularly focusing on genomic and transcriptomic data analysis, molecular docking, and genome assembly. His work on understanding the genetic and molecular factors influencing the survival and pathogenicity of mosquitoes and honeybees under biotic and abiotic stresses is groundbreaking. Additionally, he has made significant strides in studying gene expression in various diseases, including autism, cancer, and diabetes. Dr. Maigoro’s expertise extends to miRNA research and its role in developmental biology, integrating computational predictions with experimental data to advance our understanding of complex biological processes.

🥇Award and Honors:

Dr. Abdulkadir Yusif Maigoro has received several accolades for his exceptional contributions to the field of computational biology. Notably, he earned the Best Poster Award at the International Conference on Insects Epidemiology in South Korea (2023) and the Korean Society for Insects Vector Conference (2023). His research has also been recognized at various international platforms, including the International Conference on Plant and Animal Genome, Australia (2023). Dr. Maigoro’s commitment to advancing scientific knowledge is reflected in his active participation in prestigious conferences, workshops, and seminars, further solidifying his reputation as a leading researcher in his field.

Conclusion:

Dr. Abdulkadir Yusif Maigoro is a highly accomplished computational biologist whose research and academic contributions have made a significant impact in the fields of genomics, molecular biology, and bioinformatics. His work on insect vector biology, disease modeling, and gene expression analysis demonstrates his dedication to addressing pressing global health challenges. Dr. Maigoro’s impressive educational background, professional experience, and recognition through awards and publications further highlight his expertise and commitment to advancing scientific knowledge. His ongoing work promises to continue shaping the future of computational biology and its applications in health and disease research.

📚Publication Top Notes:

  • Calendula in modern medicine: Advancements in wound healing and drug delivery applications  📄 (1 citation)
  • Comparative Study of the Effect of Pollen Substitute Diets on Honey Bees during Early Spring  🐝 (5 citations)
  • Gut Microbiota of Apis mellifera at Selected Ontogenetic Stages and Their Immunogenic Potential during Summer 📄 (1 citation)
  • Isolation, characterization, proteome, miRNAome, and the embryotrophic effects of chicken egg yolk nanovesicles (vitellovesicles)  (8 citations)
  • Exploration of Gut Microbiome Research in Africa: A Scoping Review  🌍 (2 citations)
  • MicroRNA profiling of royal jelly extracellular vesicles and their potential role in cell viability and reversing cell ap – Under review 💧 (0 citations)