Hen Friman | Biotechnology | Best Researcher Award

Hen Friman | Biotechnology | Best Researcher Award

Dr. Hen Friman, Faculty of Engineering H.I.T – Holon Institute Of Technology, Israel

Dr. Hen Friman πŸŽ“ is a dedicated lecturer at the Holon Institute of Technology (HIT) in Israel, specializing in energy systems and biotechnology. With a Ph.D. in Biology and Life Sciences from Bar-Ilan University πŸ”¬, Dr. Friman has made significant contributions to sustainable energy through bio-fuel cell research. He serves as Head of the Renewable Energy and Smart Grid Excellence Center ⚑ and actively manages national training programs in collaboration with Israel’s Ministry of Energy. His leadership in academic advising, student retention, and ecological projects reflects his commitment to education, innovation, and public service πŸŒ±πŸ“˜.

Profile :

πŸŽ“Education & Experience :

Dr. Hen Friman πŸŽ“ began his academic journey with a B.Sc. in Chemical Engineering and Biotechnology from Ariel University (with honors) in 2004 πŸ§ͺ. He continued with an M.Sc. in Biology and Life Sciences at Bar-Ilan University in 2007 🧬, followed by a Ph.D. in Biology and Life Sciences from the same institution in 2013 πŸ”‹. His doctoral research focused on energy generation from aromatic-compound-degrading bacteria using bio-fuel cells, under the guidance of Prof. Yeshayahu Nitzan and Dr. Rivka Cahan πŸ‘¨β€πŸ«. Professionally, Dr. Friman joined the Holon Institute of Technology (HIT) in 2012 as a Junior Lecturer πŸ“… and has served as a Lecturer in the Faculty of Electrical and Electronics Engineering since 2015 πŸŽ“. He held the role of Acting Head of the Undergraduate Program in 2022–2023 πŸ‘¨β€πŸ« and is currently the Academic Advisor for Student Drop-out Prevention for the 2023–2024 academic year πŸ‘¨β€πŸŽ“.

πŸ“š Professional Development :

Dr. Friman has been deeply involved in advancing energy education and public outreach initiatives in Israel 🌍. He has led national and school-based projects such as β€œEcological Garden” 🌻 and β€œDecentralized Energy” ⚑, promoting sustainability in young minds. As Manager of the β€œEnergy Supervisor” program at HIT, in collaboration with the Ministry of Energy πŸ’Ό, he trains professionals in renewable technologies. A frequent speaker and advisory board member at international conferences πŸ—ΊοΈ, he’s chaired sessions in cities like Amsterdam, Berlin, and Seville, contributing to academic excellence and cross-border collaborations πŸŒπŸ“Š.

πŸ”¬ Research Focus :

Dr. Friman’s research bridges biotechnology and energy science πŸ”¬βš‘. He focuses on microbial fuel cells, renewable energy, and sustainable power generation using bio-based systems πŸŒ±πŸ”‹. His doctoral work on using bacteria to degrade aromatic compounds for electricity generation is a pioneering step in bio-electrochemical energy. As Head of HIT’s Renewable Energy and Smart Grid Excellence Center, he explores decentralized energy systems, smart grids, and clean energy technologies for practical deployment in educational and community settings 🏫🏘️. His multidisciplinary work positions him at the intersection of life sciences, engineering, and energy innovation πŸ”§πŸ’‘.

πŸ† Awards and Honors :

Dr. Hen Friman has received multiple recognitions for his academic and professional contributions πŸ†. He served as a Member of the International Advisory Board for ICERI conferences in 2016 and 2017, and as a Session Chair at the ICBTS 2017 conferences held in Amsterdam and Berlin πŸ…. He was also a Member of the Advisory Board for EDULEARN17 πŸ“š. In 2017, he contributed as a Research Associate in Prof. Dr. Gabi Drochioiu’s laboratory at Alexandru Ioan Cuza University in Romania πŸ”¬. Domestically, he led impactful sustainability initiatives such as the β€œEcological Garden” and β€œDecentralized Energy” school projects 🌿. Dr. Friman currently heads the Renewable Energy and Smart Grid Center at HIT ⚑ and manages the β€œEnergy Supervisor” program, a national training initiative in collaboration with the Ministry of Energy πŸ› οΈ.

Publication Top Notes :

1. Soft Skills Education is Valuableβ€”Perception of Engineering Students
  • Citation:
    Balberg, M., Friman, H., Ragones, H., Baner, I., Shechter, R., & Kurtz, G. (2025). Soft Skills Education is Valuableβ€”Perception of Engineering Students. IEEE Transactions on Education, 68(1), 1–11.

  • Summary:
    This study evaluates the impact of a dedicated soft skills course within an undergraduate electrical engineering program. The course focused on enhancing skills such as teamwork, time management, and communication. Findings indicate that students’ appreciation for soft skills and their confidence in applying them improved significantly post-course, underscoring the importance of integrating soft skills training into engineering curricula.

2. Nurturing Eco-Literate Minds: Unveiling the Pathways to Minimize Ecological Footprint in Early Childhood Education
  • Citation:
    Friman, H., Banner, I., Sitbon, Y., Sahar-Inbar, L., & Shaked, N. (2024). Nurturing Eco-Literate Minds: Unveiling the Pathways to Minimize Ecological Footprint in Early Childhood Education. Social Sciences, 13(4), 187.Β 

  • Summary:
    This article explores the role of early childhood education in promoting sustainability and reducing ecological footprints. It emphasizes the importance of environmental education in developing critical thinking and pro-environmental behaviors among young learners. The study highlights successful programs like β€œGreen Ambassadors in the Community,” demonstrating the effectiveness of experiential learning in fostering ecological awareness.

3. Shaping the Engineers of Tomorrow: Integrating Renewable Energies and Advanced Technologies in Electrical and Electronics Engineering Education
  • Citation:
    Friman, H. (2024). Shaping the Engineers of Tomorrow: Integrating Renewable Energies and Advanced Technologies in Electrical and Electronics Engineering Education. Energies, 17(16), 4146.

  • Summary:
    This paper discusses the integration of renewable energy technologies and advanced tools into electrical and electronics engineering education. It presents a model for incorporating practical laboratory experiences, such as fuel cell experiments and smart grid simulations, to enhance students’ understanding of sustainable energy systems. The study reports positive feedback from students, indicating increased engagement and comprehension of renewable energy concepts.

4. Experiential Learning for Sustainability: A Catalyst for Global Change
  • Citation:
    Friman, H. (2024). Experiential Learning for Sustainability: A Catalyst for Global Change. Educational Administration: Theory and Practice, 30(2), 45–60.

  • Summary:
    This article examines the impact of experiential learning approaches on promoting sustainability education. It argues that hands-on experiences and real-world problem-solving activities are effective in instilling sustainable values and behaviors in students. The study highlights case studies where experiential learning led to increased environmental awareness and proactive engagement in sustainability initiatives.

5. Reducing Fossil Fuel Consumption by Incorporating Renewable Energy Sources in Wastewater Treatment Processes
  • Citation:
    Friman, H. (2023). Reducing Fossil Fuel Consumption by Incorporating Renewable Energy Sources in Wastewater Treatment Processes. Renewable Energy and Power Quality Journal, 21, 360.Β 

  • Summary:
    This study explores the integration of renewable energy sources, such as solar and wind power, into wastewater treatment processes to reduce reliance on fossil fuels. It presents a case study demonstrating the feasibility and benefits of using renewable energy in wastewater management, including cost savings and decreased greenhouse gas emissions.

🏁 Conclusion:

Dr. Hen Friman exemplifies the qualities of a Best Researcher Award recipientβ€”combining scientific rigor, technological innovation, and public service. His research in bio-fuel cells and leadership in renewable energy initiatives have made a tangible impact in both academia and national energy policy, making him a truly deserving candidate.

 

Prof. Shile Qi | Bioinformatics | Best Researcher Award

Prof. Shile Qi | Bioinformatics | Best Researcher Award

Prof. Shile Qi, Nanjing University of Aeronautics and Astronautics, China

Prof. Shile Qi is a distinguished expert in computational psychiatry, brain imaging, and data science, currently serving as a Professor of Artificial Intelligence at Nanjing University of Aeronautics and Astronautics. With postdoctoral experience at TReNDS (Georgia State, Georgia Tech, Emory) and The Mind Research Network (USA), Prof. Qi specializes in multimodal neuroimaging, machine learning, and individualized mental health prediction. His research has been recognized globally through prestigious presentations and awards at IEEE ISBI, ICASSP, and OHBM. His work bridges AI, neuroscience, and psychiatry, advancing early diagnosis and personalized treatment of disorders like schizophrenia and depression. Prof. Qi is a rising leader in neuroinformatics, integrating computational innovation with medical science for impactful mental health solutions.

🌍 Professional Profile 

Google Scholar

πŸ† Suitability for Best Researcher AwardΒ 

Prof. Shile Qi is an exceptional candidate for the Best Researcher Award due to his high-impact contributions in computational neuroscience and AI-powered psychiatry. His groundbreaking work in individualized mental health prediction, multimodal brain data fusion, and bioinformatics has earned him multiple international honors and oral presentations at top-tier conferences like IEEE ISBI, ICASSP, and OHBM (top 1–3%). With a proven record of excellence in brain imaging and mental health research, he offers innovative tools for diagnosing complex psychiatric disorders. His international training, interdisciplinary skills, and leadership in neuroimaging AI make him a transformative figure driving precision psychiatry forward. Prof. Qi exemplifies the ideal balance of academic rigor, innovation, and societal impact.

πŸŽ“ EducationΒ 

Prof. Shile Qi earned his Ph.D. in Pattern Recognition (2018) from the Institute of Automation, Chinese Academy of Sciences, focusing on computational neuroscience and AI algorithms. He holds a Master’s degree in Mathematics (2014) from Fuzhou University, and a Bachelor’s degree in Mathematics (2011) from Zhoukou Normal University. His solid mathematics background supports his innovations in neuroimaging data analysis, multimodal integration, and personalized prediction models. From 2018 to 2021, he completed prestigious postdoctoral fellowships in the U.S. at The Mind Research Network and the TReNDS Center, working alongside leading experts in neuroimaging, psychiatry, and AI. His education reflects a unique blend of mathematics, pattern recognition, and brain science, forming the foundation of his cutting-edge research.

πŸ’Ό Experience

Prof. Shile Qi is currently an Artificial Intelligence Professor at Nanjing University of Aeronautics and Astronautics (2021–present), focusing on brain image analysis, computational psychiatry, and AI-driven mental health research. From 2019–2021, he was a Postdoctoral Researcher at TReNDS (a collaborative center of Georgia State, Georgia Tech, and Emory University), where he worked on multimodal data fusion and individualized prediction of psychiatric disorders. Earlier, he completed a postdoc at The Mind Research Network (2018–2019), contributing to high-level brain imaging studies. With extensive experience in interdisciplinary collaboration, Prof. Qi has published and presented work at global platforms and continues to pioneer AI-based diagnostics in neuroscience, combining machine learning, data science, and clinical insights.

πŸ… Awards & HonorsΒ 

Prof. Shile Qi’s research excellence has earned multiple prestigious awards and presentations. These include:

✨ 2020 OHBM Merit Abstract Award (Top 1%)
✨ 2020 & 2021 OHBM Oral Presentations (Top 3%)
✨ 2017 OHBM Merit Abstract Award (Top 1%)
🎀 2025 IEEE ICASSP & ISBI Oral Presentations
🎀 2021 IEEE ISBI Oral Presentation

His work on multiple psychiatric disorders and ECT treatment studies was consistently ranked among the top abstracts internationally. These honors highlight his cutting-edge contributions to neuroimaging, AI-based psychiatry, and multimodal data fusion. Recognized for technical depth, innovation, and clinical relevance, Prof. Qi has emerged as a thought leader in computational neuroscience, driving AI-enhanced healthcare forward globally.

πŸ”¬ Research FocusΒ 

Prof. Shile Qi’s research lies at the intersection of AI, neuroscience, and psychiatry. He specializes in computational psychiatry, using brain imaging and bioinformatics to model mental disorders like schizophrenia and depression. His expertise spans multimodal data fusion, individualized prediction models, and deep learning techniques for detecting subtle brain abnormalities. Prof. Qi develops novel methods to integrate MRI, fMRI, EEG, and other neuroimaging data, providing personalized insights for early diagnosis and treatment planning. He also contributes to bioinformatics and mental health AI, creating predictive models that are both clinically relevant and technically robust. His work aims to transform how psychiatric conditions are understood, detected, and managed through neuroinformatics innovation.

πŸ“ŠΒ Publication Top NotesΒ Β 

  • Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

    • Citations: 159
    • Year: 2018

  • Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships

    • Citations: 151
    • Year: 2020

  • Aberrant dynamic functional network connectivity and graph properties in major depressive disorder

    • Citations: 148
    • Year: 2018

  • Gender differences in connectome-based predictions of individualized intelligence quotient and sub-domain scores

    • Citations: 137
    • Year: 2020

  • Connectome-based individualized prediction of temperament trait scores

    • Citations: 87
    • Year: 2018

 

 

Mr. Md. Ramjan Sheikh | Bioinformatics | Best Researcher Award

Mr. Md. Ramjan Sheikh | Bioinformatics | Best Researcher Award

Mr. Md. Ramjan Sheikh, Gono Bishwabidyalay, Bangladesh

Md. Ramjan Sheikh is a dedicated biochemist and researcher specializing in bioinformatics, microbial biotechnology, and plant biochemistry. He holds an M.S. in Biochemistry and Molecular Biology from Hajee Mohammad Danesh Science and Technology University. With extensive experience in molecular diagnostics, pathogen identification, and computational biology, he has contributed significantly to disease research, plant stress studies, and drug discovery. Currently, he serves as a Consultant Biochemist at Super Medical Hospital and a Research Assistant in advanced bioinformatics labs. Passionate about innovation, he explores biotic and abiotic stress in plants, cancer research, and microbial genomics, driving impactful scientific discoveries.

🌍 Professional Profile:

Orcid

πŸ† Suitability for Best Researcher Award

Md. Ramjan Sheikh’s expertise in bioinformatics, molecular biology, and microbial biotechnology makes him a strong candidate for the Best Researcher Award. His groundbreaking research spans plant stress responses, bacterial genome analysis, and computational drug discovery. His extensive laboratory experience includes RT-PCR diagnostics, whole-genome sequencing, and biochemical assays, contributing to advancements in infectious disease research and plant biotechnology. His role as a consultant biochemist and research instructor showcases his commitment to knowledge dissemination. With a multidisciplinary approach and innovative problem-solving skills, he is poised to make significant contributions to modern biotechnology and biomedical research.

πŸŽ“ Education

Md. Ramjan Sheikh earned his M.S. in Biochemistry and Molecular Biology from Hajee Mohammad Danesh Science and Technology University in 2023. He previously obtained a B.Sc. (Hons) in the same field from Gono Bishwabidyalay in 2020. His academic journey focused on biochemical mechanisms in plants, microbial biotechnology, and bioinformatics applications. He actively pursued research on self-incompatibility in Fagopyrum esculentum, the effects of NaF and NaCl on germination and protein interactions, and microelement involvement in cancer development. His strong foundation in molecular biology and computational techniques equips him to contribute significantly to modern scientific advancements.

πŸ’Ό ExperienceΒ 

Md. Ramjan Sheikh has extensive professional experience in molecular diagnostics and research. He is the Founder and Instructor at Plasma Cell Research Center (2024–present) and a Consultant Biochemist at Super Medical Hospital, Savar (2024–present). Previously, he worked as a Laboratory Officer at Gonoshasthaya RNA Biotech Ltd. (2021), specializing in RT-PCR, whole-genome sequencing, and molecular characterization of bacterial strains. His technical expertise includes bacterial isolation, bioinformatics, drug discovery, and enzyme assays. His work has advanced research in antimicrobial resistance, plant stress responses, and computational biology, positioning him as a leader in interdisciplinary biochemical research.

πŸ… Awards & HonorsΒ 

  • Best Paper Presentation Award πŸ† – Recognized for outstanding research on plant biochemical responses at a national conference.
  • Excellence in Molecular Research Award 🧬 – Honored for contributions to bacterial genome sequencing and bioinformatics studies.
  • Biotech Innovation Award πŸ… – Awarded for research on self-incompatibility in buckwheat and its molecular implications.
  • Outstanding Research Contribution πŸ“œ – Acknowledged by research institutes for innovative approaches in plant stress and disease studies.
  • Young Scientist Recognition πŸŽ“ – Recognized for significant contributions to computational drug discovery and antimicrobial studies.

πŸ”¬ Research FocusΒ 

Md. Ramjan Sheikh’s research spans multiple domains, including bioinformatics, microbial biotechnology, plant stress physiology, and computational biology. He specializes in bacterial genome analysis, molecular identification, and antibiotic resistance studies. His work explores abiotic and biotic stress responses in plants, with a focus on NaF and NaCl effects on seedling growth and protein interactions. He is actively engaged in cancer-related bioinformatics research, computational drug discovery, and disease biomarker identification. His multidisciplinary approach integrates wet-lab techniques with computational modeling, advancing scientific knowledge in biotechnology, pathology, and environmental microbiology.

πŸ“Š Publication Top Notes:

  1. Modeling the Interactions Between Chemicals and Proteins to Predict the Health Consequences of Air Pollution

    • Year: 2025
  2. Proteomic Insights Into The Health Impacts of Cigarette Smoking: Analyzing Nicotine, PAHs, Aromatic Amines, And Aldehydes

    • Year: 2024
  3. Biochemical Analysis of Leonurus Sibiricus and Prediction of Its Bioactive Compound-Protein Interactions in Homo Sapiens

    • Year: 2023
  1. Identification and Characterization of a Protease-Producing Bacillus cereus Strain From Tannery Waste for Efficient Dehairing of Goat Skin

    • Year: 2025
  2. Genomic Insights into the Cultivated Common Buckwheat: A Comprehensive Review on Genetic Diversity, Population Structure, and Marker Technologies

    • Year: 2024

 

 

Prof. Foluso Oluwagbemiga Osunsanmi | Medical Technology | Best Researcher Award

Prof. Foluso Oluwagbemiga Osunsanmi | Medical Technology | Best Researcher Award

Prof. Foluso Oluwagbemiga Osunsanmi | University of Zululand | South Africa

Dr. Foluso Oluwagbemiga Osunsanmi is a dedicated researcher specializing in plant pathology and mycotoxin management πŸŒΎπŸ”¬. Currently a Senior Lecturer at the University of South Africa, he focuses on postharvest disease control, antimicrobial agents, and sustainable agricultural practices 🌍πŸ§ͺ. With a Ph.D. in Microbiology from the University of KwaZulu-Natal πŸŽ“, he has published extensively in high-impact journals πŸ“š. His expertise spans fungal biology, food security, and biotechnology πŸ„πŸ½οΈ. Passionate about mentoring young scientists, he actively collaborates on global research projects 🌎🀝. Dr. Osunsanmi’s contributions advance agricultural resilience and food safety worldwide πŸŒ±πŸ›‘οΈ.

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Dr. Foluso Oluwagbemiga Osunsanmi is a highly suitable candidate for the Best Researcher Award due to his significant contributions to plant pathology, mycotoxin management, and sustainable agricultural practices. His research focuses on postharvest disease control, antimicrobial agents, and food security, which are critical for global agricultural sustainability.

Education & Experience πŸŽ“πŸ’Ό

  • Ph.D. in Microbiology – University of KwaZulu-Natal, South Africa (2018) πŸ…πŸ”¬
  • M.Sc. in Microbiology – University of Ilorin, Nigeria (2014) πŸŽ“πŸ§«
  • B.Sc. in Microbiology – University of Ilorin, Nigeria (2009) πŸŽ“πŸ¦ 
  • Senior Lecturer – University of South Africa (Current) πŸ“šπŸŽ€
  • Postdoctoral Researcher – University of KwaZulu-Natal (2018-2020) πŸ§ͺπŸ”¬
  • Lecturer – University of Ilorin, Nigeria (2014-2015) πŸ‘¨β€πŸ«πŸ“–

Professional Development πŸš€

Dr. Osunsanmi actively participates in professional training and workshops to stay at the forefront of microbiology and agricultural research πŸŒΎπŸ”¬. He has attended international conferences and presented groundbreaking research on fungal pathogens, food contamination, and sustainable agriculture πŸŒŽπŸ“’. As a mentor, he supervises postgraduate students, guiding them in innovative research methodologies πŸŽ“πŸ€. He is a member of esteemed scientific societies, including the American Society for Microbiology and the South African Society of Microbiology πŸ…πŸ”¬. His commitment to continuous learning and collaboration fosters advancements in food safety, crop protection, and antimicrobial resistance πŸŒ±πŸ›‘οΈ.

Research Focus πŸ”¬πŸŒΎ

Dr. Osunsanmi’s research primarily focuses on plant pathology, mycotoxin contamination, and fungal disease management in crops 🌽🦠. He investigates the role of antimicrobial agents in controlling postharvest spoilage and enhancing food security πŸŽπŸ›‘οΈ. His studies also explore biocontrol strategies to reduce chemical pesticide dependence, promoting eco-friendly agricultural practices 🌍🚜. With expertise in microbiology and biotechnology, he develops novel solutions for sustainable farming, addressing global challenges in food safety and climate resilience πŸŒΏπŸ”¬. His research significantly contributes to reducing crop losses and ensuring healthier food production for future generations 🍽️🌱.

Awards & Honors πŸ†πŸŽ–οΈ

  • Postdoctoral Research Fellowship – University of KwaZulu-Natal (2018-2020) πŸ…πŸ“š
  • Outstanding Researcher Award – Recognized for contributions in plant pathology πŸŒΎπŸ”¬
  • Best Paper Presentation – International Conference on Agricultural Biotechnology πŸ—£οΈπŸ†
  • Research Excellence Award – University of South Africa (2022) πŸ…πŸŽ“
  • Member, National Research Foundation (NRF) South Africa – Recognized for academic impact πŸŒπŸ“–

Publication Top Notes:

πŸ“– Comparative study on proximate, functional, mineral, and antinutrient composition of fermented, defatted, and protein isolate of Parkia biglobosa seed – BI Ogunyinka, BE Oyinloye, FO Osunsanmi, AP Kappo, AR Opoku | πŸ› Food Science & Nutrition 5 (1), 139-147 | πŸ” Cited by: 59
πŸ“– Aqueous extract of Monodora myristica ameliorates cadmium-induced hepatotoxicity in male rats – BE Oyinloye, AF Adenowo, FO Osunsanmi, BI Ogunyinka, SO Nwozo, … | πŸ› SpringerPlus 5, 1-7| πŸ” Cited by: 52
πŸ“– Effects of drying methods on quality attributes of shrimps – OM Ajifolokun, AK Basson, FO Osunsanmi, GE Zharare | πŸ› Journal of Food Processing and Technology 10 (772), 2Β  | πŸ” Cited by: 22
πŸ“– Protective Effects of Parkia biglobosa Protein Isolate on Streptozotocin-Induced Hepatic Damage and Oxidative Stress in Diabetic Male Rats – BI Ogunyinka, BE Oyinloye, FO Osunsanmi, AR Opoku, AP Kappo | πŸ› Molecules 22 (10), 1654 |Β  πŸ” Cited by: 21
πŸ“– A Lanosteryl Triterpene from Protorhus longifolia Improves Glucose Tolerance and Pancreatic Beta Cell Ultrastructure in Type 2 Diabetic Rats – SE Mabhida, RA Mosa, D Penduka, FO Osunsanmi, PV Dludla, … | πŸ› Molecules 22 (8), 1252 | Β πŸ” Cited by: 21