Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay Gebremeskel  at  Bahir Dar University, Ethiopia

👨‍🎓 Profiles

🌟 Early Academic Pursuits

Dr. Gebeyehu Belay Gebremeskel’s academic journey began at Alemaya University in Dire Dawa, Ethiopia, where he earned his Bachelor of Science in Computer Science in July 1991. His quest for advanced knowledge led him to London South Bank University in England, where he completed a Master of Science in Advanced Information Technology in January 2001. Under the guidance of Professor Ddembe Williams, he delved into System Dynamics Modeling and Decision Science. Dr. Gebremeskel’s pursuit of deeper expertise continued with a Ph.D. from Chongqing University in China, culminating in June 2013. His dissertation, supervised by Professor Zhongshi He, focused on the integration of Data Mining Algorithms and Multi-Agent Systems with Business Intelligence.

💼 Professional Endeavors

Dr. Gebeyehu’s professional career is distinguished by his impactful roles at Bahir Dar University’s Institute of Technology. As an Associate Professor, he has been instrumental in program accreditation, international conference organization, and curriculum development. His expertise has been further honed through a postdoctoral fellowship at Chongqing University’s College of Automation, focusing on machine learning, big data analytics, and intelligent systems. His commitment to excellence is reflected in his contributions to academic and research training, including programs in GIS, web design, and networking.

🔬 Contributions and Research Focus

Dr. Gebeyehu’s research spans several cutting-edge areas within computer science and engineering. His work in Big Data Analytics emphasizes optimization and precision in performance. In Artificial Intelligence and Machine Learning, he explores neural networks, genetic algorithms, and support vector machines, contributing to advancements in intelligent systems and fault diagnosis. His research in Data Mining includes pattern recognition, outlier detection, and intelligent data systems. Additionally, his focus on Intelligent Systems and Agent Technology involves developing algorithms for multi-agent systems and enhancing system intelligence.

🏆 Accolades and Recognition

Dr. Gebeyehu has received significant recognition for his contributions to academia and research. His roles as conference co-chair and technical program chair for international events like ICAST 2018, 2019, and 2020 highlight his leadership and influence in the field. His research publications in renowned journals, such as the International Journal of Data Science and Analytics, further underscore his impact. His work on big data analytics and neural network models has been widely acknowledged and respected within the academic community.

🌍 Impact and Influence

Dr. Gebeyehu’s influence extends across both academic and practical domains. His research has advanced knowledge in intelligent transportation systems and smart environments. His curriculum development and program accreditation efforts at Bahir Dar University have elevated the quality of education and research opportunities. By mentoring postgraduate students and leading international workshops, Dr. Gebeyehu has significantly impacted the field of computer science and engineering, shaping the future of many students and researchers.

🌟 Legacy and Future Contributions

Dr. Gebeyehu Belay Gebremeskel’s legacy is marked by his pioneering research, extensive teaching experience, and leadership in academia. His contributions to machine learning, big data analytics, and intelligent systems have set a high standard in the field. As he continues to explore new research avenues and educational initiatives, Dr. Gebeyehu is poised to make further advancements and impact future generations of researchers and practitioners. His dedication ensures that his influence will be felt long into the future.

📖 Publications

Praveen Kumar | Data Analysis | Best Researcher Award

Dr. Praveen Kumar | Data Analysis | Best Researcher Award

Doctorate at Michigan State University, United States

👨‍🎓 Profile

🎓 Academic Background & Education:

Dr. P. P. Praveen Kumar holds a Ph.D. in Organic Chemistry from the Indian Institute of Technology (IIT) Delhi (2011-2016), where he focused on molecular recognition and self-assembling peptide-based systems. He earned his Master’s in Organic Chemistry from Christ College, Irinjalakuda (2007-2009), with an impressive grade of 85%. His undergraduate degree in Chemistry was completed at ST. Thomas College, Thrissur (2004-2007), where he achieved a high grade of 91%.

💼 Professional Experience:

Dr. Kumar is currently a Research Associate at Michigan State University (Aug 2023 – Present), working under Prof. Kim Taeho in the Biomedical Engineering Department. His research involves fabricating contrasting agents for tumor bioimaging, including MRI, Photoacoustic Imaging, and Magnetic Particle Imaging. Prior to this, he served as a Research Professor at the KU-KIST Graduate School of Converging Science and Technology, Korea University (Jan 2021 – Aug 2023), where he focused on SERS tags and chiral materials for biomedical applications. His postdoctoral research at the Institute of Nano Science and Technology (INST), Mohali, India (Mar 2017 – Jan 2020), under Prof. Prakash P. N, involved fabricating Gold-BODIPY nanocomposites for photonics and photodynamic therapy.

🔬 Research Interests:

Dr. Kumar’s research interests are centered on designing and synthesizing self-assembled materials for advanced biomedical applications. His work includes the development of nanomaterials for imaging and therapeutic purposes, such as MRI and Photoacoustic Imaging. He is particularly focused on chiral nanostructures and their optical applications, as well as creating luminescent materials and photosensitizers for bio-imaging and photodynamic therapy. Additionally, he explores peptide/amino acid-based catalysis and asymmetric catalysis.

🛠️ Skills & Techniques:

He possesses extensive skills in nanomaterial fabrication, bioimaging, and advanced characterization techniques, including NMR, SEM, TEM, FT-IR, and Raman Spectroscopy. Dr. Kumar is also proficient in various imaging technologies, such as Photoacoustic, MRI, MPI, and IVIS.

🏆 Honors & Awards:

Dr. Kumar has been recognized with several prestigious awards, including the BK21 Fellowship from the Korean Government (2021), the SERB-NPDF Fellowship from DST, India (2017-2020), and the CSIR-JRF/SRF Fellowship (2011-2016).

📖 Publications

Gold Polymer Nanomaterials: A Promising Approach for Enhanced Biomolecular Imaging”
    • Author: Panangattukara Prabhakaran Praveen Kumar, Ritu Mahajan
    • Journal: Nanotheranostics
    • Year: 2024
“A Multimode Detection Platform for Biothiols Using BODIPY Dye-Conjugated Gold Nanoparticles”
    • Author: Panangattukara Prabhakaran Praveen Kumar
    • Journal: Colorants
    • Year: 2024
“Unlocking the Potential of Gold as Nanomedicine in Cancer Immunotherapy”
    • Author: Panangattukara Prabhakaran Praveen Kumar, Maggie Lee, Taeho Kim
    • Journal: Journal of Nanotheranostics
    • Year: 2024
“Recent Advances in SERS-Based Bioanalytical Applications: Live Cell Imaging”
    • Author: Dong-Kwon Lim, Panangattukara Prabhakaran Praveen Kumar
    • Journal: Nanophotonics
    • Year: 2024
“Exosome-Coated Prussian Blue Nanoparticles for Specific Targeting and Treatment of Glioblastoma”
    • Author: Meghan L. Hill, Seock-Jin Chung, Hyun-Joo Woo, Cho Rong Park, Kay Hadrick, Md Nafiujjaman, Panangattukara Prabhakaran Praveen Kumar, Leila Mwangi, Rachna Parikh, Taeho Kim
    • Journal: ACS Applied Materials & Interfaces
    • Year: 2024

Paraskumar Patel | Business Intelligence and Analytics | Editorial Board Member

Mr. Paraskumar Patel | Business Intelligence and Analytics | Editorial Board Member

Mr. Paraskumar Patel at Fractal.ai – United States

👨‍🎓 Profiles

🌟 Early Academic Pursuits

Paraskumar Patel’s academic journey is marked by a commitment to blending engineering and technology. He started with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University in India, where he developed a strong foundation in engineering principles. His quest for deeper knowledge led him to Carnegie Mellon University, where he earned a Master of Chemical Engineering. This advanced degree allowed Patel to explore complex engineering systems and applications. Recognizing the importance of data technology, he pursued a Master of Science in Information Technology from the University of the Cumberlands in the USA. This educational path not only enhanced his technical skills but also equipped him to integrate chemical engineering with cutting-edge data analytics.

💼 Professional Endeavors

Paraskumar Patel’s professional journey is highlighted by his impactful roles across various industries. As a Senior Data Engineer at Fractal.ai, Patel has made significant strides in data migration, report optimization, and advanced analytics. His work with high-profile clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcases his expertise in operationalizing complex models, migrating reports to Power BI, and enhancing data retrieval processes. Patel’s ability to streamline data processes and improve report efficiency has been instrumental in helping organizations make data-driven decisions and enhance operational performance.

📝 Contributions and Research Focus

Patel’s scholarly contributions are extensive and influential. His research addresses critical areas in data visualization, engineering challenges, and privacy-preserving analytics techniques. With publications in prestigious journals like the International Journal of Science and Research and the European Journal of Advances in Engineering and Technology, Patel has explored topics such as integrating privacy-preserving techniques, balancing creativity with compliance, and optimizing Power BI functionalities. His work not only contributes to the academic field but also provides practical solutions to complex data challenges, reflecting his thought leadership and commitment to advancing data engineering practices.

🏆 Accolades and Recognition

Paraskumar Patel’s work has earned him notable recognition within the data engineering community. His innovative approaches to optimizing data retrieval and enhancing report efficiency have been praised by clients and peers. Patel’s research publications are widely cited, underscoring the impact of his contributions on both academic and professional circles. His ability to bridge technical expertise with practical solutions has established him as a leading figure in data engineering, garnering accolades for his problem-solving skills and dedication to advancing the field.

🌍 Impact and Influence

Patel’s influence on the field of data engineering is profound. His work has not only improved data processes and access for various organizations but also set new standards for data-driven decision-making. By addressing complex data challenges and integrating advanced technologies, Patel has driven positive change across multiple sectors. His contributions have shaped how organizations approach data analytics, highlighting the importance of combining technical expertise with innovative solutions to enhance operational efficiencies and data accessibility.

🔮 Legacy and Future Contributions

As Paraskumar Patel continues to advance his career, his legacy in data engineering is defined by his innovative spirit and thought leadership. His contributions have left a lasting impact on the organizations he has worked with, improving their data processes and overall performance. Looking ahead, Patel’s focus on emerging challenges and his continued research efforts will likely drive further advancements in the field. His ability to merge engineering expertise with cutting-edge data analytics positions him as a key figure in shaping the future of data engineering, inspiring future generations of data professionals with his commitment to innovation and excellence.

📖 Publications

Lishu Guo | Insight Interlace | Best Researcher Award

Assoc Prof Dr. Lishu Guo | Insight Interlace | Best Researcher Award

Assoc Prof Dr. Lishu Guo at Columbia University, China

👨‍🎓 Profiles

 📚 Academic Background 

Lishu Guo is an accomplished Associate Research Scientist at Columbia University, New York, specializing in mitochondrial bioenergetics and metabolic reprogramming. With a global academic and research background, Dr. Guo has contributed significantly to understanding mitochondrial dynamics and their implications in cancer and metabolic disorders.

🎓 Education

Dr. Guo earned a Ph.D. in Biomedical Science from the University of Padova, Italy, focusing on mitochondrial permeability transition and F-ATP synthase (2015-2018). She also holds a Master’s in Pharmacology from Lanzhou University, China (2012-2014), and a Bachelor’s in Medicine from Henan University, China (2008-2012).

💼 Professional Experience

Dr. Guo is currently serving as an Associate Research Scientist at Columbia University’s Department of Anesthesiology (since August 2024). Previously, she worked as a Young Associate Researcher at the Greater Bay Area Institute of Precision Medicine, Fudan University, China (2022-2024) and as an Assistant Researcher at Tongji University’s School of Medicine, China (2019-2022). She also completed a Fellowship at the University of Padova (2018-2019) and started her career as an Assistant Researcher at Shanghai Haohai Biological Technology Co., Ltd. (2014-2015).

🔬 Research Interests

Dr. Guo’s research interests include mitochondrial channels and permeability transition, oxidative phosphorylation, F-ATP synthase dynamics, oxidative stress, calcium homeostasis, and metabolic reprogramming. She explores these areas to understand their roles in cellular function and disease mechanisms.

🏆 Awards and Funding 

Dr. Guo has received funding from the Shanghai Sailing Program (2020-2023) and the Shanghai Tenth People’s Hospital (2021-2023).

🤝 Memberships 

Dr. Guo is a member of the Shanghai Overseas Returned Scholars Association and the Guangzhou Overseas Returned Scholars Association.

📝 Reviewer 

Dr. Guo serves as a reviewer for several journals, including ACS Chemical Neuroscience, Biochemical Pharmacology, and Mitochondrial Communications.

💡Patents 

Dr. Guo holds patents for MTCH2 in cancer treatment drugs related to iron death (2023) and a composition for enhancing immune function (2023).

📖 Publications

Title: F-ATP synthase inhibitory factor 1 regulates metabolic reprogramming involving its interaction with c-Myc and PGC1α
  • Author(s): Guo, L., Gu, Z.
  • Journal: Frontiers in Oncology
  • Year: 2023
Title: Mitochondrial ATP synthase inhibitory factor 1 interacts with the p53–cyclophilin D complex and promotes opening of the permeability transition pore
  • Author(s): Guo, L.
  • Journal: Journal of Biological Chemistry
  • Year: 2022
Title: Mitochondria and the permeability transition pore in cancer metabolic reprogramming
  • Author(s): Guo, L.
  • Journal: Biochemical Pharmacology
  • Year: 2021
Title: Arg-8 of yeast subunit e contributes to the stability of F-ATP synthase dimers and to the generation of the full-conductance mitochondrial megachannel
  • Author(s): Guo, L., Carraro, M., Carrer, A., Bernardi, P., Lippe, G.
  • Journal: Journal of Biological Chemistry
  • Year: 2019
Title: Arginine 107 of yeast ATP synthase subunit g mediates sensitivity of the mitochondrial permeability transition to phenylglyoxal
  • Author(s): Guo, L., Carraro, M., Sartori, G., Petronilli, V., Bernardi, P.
  • Journal: Journal of Biological Chemistry
  • Year: 2018

François Guillard | Data Science | Best Researcher Award

Dr. François Guillard | Data Science | Best Researcher Award

Doctorate at The University of Sydney, Australia

👨‍🎓 Profiles

Academic Background 🎓

François Guillard was born in Poitiers, France, in 1987. His educational journey began with a Bachelor’s Degree in Science of Matter – Physics and a Master’s Degree in Fundamental Physics from École Normale Supérieure of Lyon. He completed his PhD in Physics at Aix-Marseille University in 2013, focusing on drag and lift forces in granular media. He furthered his qualifications with a Graduate Certificate in Educational Studies (Higher Education) from The University of Sydney.

Professional Experience 🛠️

François is currently a Senior Lecturer in Geotechnical Engineering at The University of Sydney, where he also serves as Director of Postgraduate Studies and IT. His previous roles include Lecturer in Geotechnical Engineering and Post-doctoral Researcher at the same institution. He has been actively involved in academic integrity, radiation safety, and various scientific review committees.

Research Contributions 🔬

François’s research spans a range of topics in granular media and geomechanics. His recent publications include studies on the modeling of comminution in rotary mills, the use of X-ray techniques in froth flotation, and the impact of shaped boundaries on brittle porous media. His work has been published in journals such as Granular Matter, Physical Review E, and Minerals Engineering.

Conference Presentations & Invitations 🎤

François has been a keynote and invited speaker at numerous international conferences and workshops. Notable appearances include the 8th International Conference on Discrete Element Methods and the Image is Everything workshop at the Lorentz Center. His talks often focus on advancements in granular science and geomechanics.

Fundings 💵

He has secured various research and education grants, including ARC funding for novel granular stress sensors and projects related to chemical degradation in brittle geomaterials. François has also been involved in consulting projects, such as the upgrade of slope reinforcement software.

Teaching 📖

François teaches both undergraduate and postgraduate courses at The University of Sydney, including Numerical Methods in Civil Engineering and Geotechnical Engineering. He also supervises capstone theses and contributes to PhD programs with courses on particle mechanics and discrete element methods.

Computing Skills 💻

François is skilled in several programming languages, including C++, C, Matlab, and Python. He has expertise in software development for geotechnical applications and is familiar with tools like Liggghts and various specialized software for data analysis and visualization.

Personal Interests 🎸🔭

Outside of his professional life, François enjoys hiking, playing classical guitar, and amateur astronomy. He has a passion for electronic and analog photography and is actively involved in software development.

📖 Publications

Heterarchical modelling of comminution for rotary mills: part I—particle crushing along streamlines
    • Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
    • Journal: Granular Matter
    • Year: 2024
Heterarchical modelling of comminution for rotary mills: part II—particle crushing with segregation and mixing
    • Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
    • Journal: Granular Matter
    • Year: 2024
Novel application of X-ray characterisation techniques in froth flotation for the study of bubble clusters
    • Authors: Bournival, G., Kim, Y.C., Shah, I., Guillard, F., Ata, S.
    • Journal: Minerals Engineering
    • Year: 2024
Behavioural zone identification in rotary mills
    • Authors: Guillard, F., Shelley, P., Einav, I.
    • Journal: Minerals Engineering
    • Year: 2024
Influence of shaped boundaries on propagating compaction bands in brittle porous media
    • Authors: Riley, D.M., Valdes, J.R., Einav, I., Guillard, F.
    • Journal: Physical Review E
    • Year: 2023
A scaling law for the length of granular jumps down smooth inclines
    • Authors: Escobar, A., Guillard, F., Einav, I., Faug, T.
    • Journal: Journal of Fluid Mechanics
    • Year: 2023

Chung-Chieh Hung | Healthcare Data Analysis | Best Researcher Award

Dr. Chung-Chieh Hung | Healthcare Data Analysis | Best Researcher Award

Doctorate at Chung Shan Medical University Hospital, Taiwan

👨‍🎓 Profile

🩺 Current Position

Dr. Chung-Chieh Hung is the Chief of the Subdivision of Prevention of Addictive Diseases at the Department of Psychiatry, China Medical University Hospital, a role he has held since 2020. In this capacity, he leads efforts to address addiction-related disorders and improve treatment strategies.

🧠 Specialties

Dr. Hung specializes in various areas of psychiatry, including General Psychiatry, where he treats conditions such as anxiety disorders, sleep disorders, depression, bipolar disorder, schizophrenia, and dementia. His expertise also extends to Forensic Psychiatry, where he handles cases related to domestic violence and sexual offenders. Additionally, he is well-versed in Addiction Medicine and Judicial Psychiatric Evaluation, providing comprehensive assessments and treatments for addiction and legal cases.

🎓 Education

Dr. Hung obtained his Bachelor of Medicine from Chang Gung University. He furthered his education with a Master of Medical Science and a Doctor of Medical Science from China Medical University. Additionally, he holds a Master of Law from National Chung Hsing University and is currently pursuing a PhD in Law at National Chengchi University.

🏥 Professional Experience

Dr. Hung began his career as a Resident in Pediatric Internal Medicine at Linkou Chang Gung Memorial Hospital. He then served as a Chief Resident and Research Physician in the Department of Psychiatry at China Medical University Hospital before becoming an Attending Psychiatrist. From 2020 to 2023, he was the Director of the Division of Addiction Prevention.

📰 Academic Research and Publications

Dr. Hung has made significant contributions to psychiatry through his publications in renowned journals like JAMA Psychiatry and Frontiers in Bioengineering and Biotechnology. His research includes studies on Betel-Quid Use Disorder and the effects of antidepressants on betel-quid use, among others.

🌍 Oral Presentations & Posters

He has presented his research at various prestigious conferences, including the World Psychiatry Association Regional Meeting and international symposia on psychiatry and addiction.

🧩 Research Projects

Dr. Hung has led several research projects funded by the Ministry of Health and Welfare, focusing on problematic alcohol use, addiction treatment services, and methadone treatment quality improvement.

🏛️ Professional Roles in Government and Professional Organizations

He serves on the Domestic Violence Pre-Trial Assessment Panel for the Taichung City Health Bureau and is a Medical Dispute Initial Assessment Personnel for the Medical Quality Advancement Association. He is also an expert on sexual assault prevention laws for the Ministry of Health and Welfare and an external inspector for the Ministry of Justice’s Correctional Services.

⚖️ Forensic Psychiatry Evaluations

Dr. Hung has provided expert forensic psychiatric evaluations in various high-profile legal cases, including those involving sexual autonomy, violent crimes, and drug-related offenses.

🌟 Victim Assessments

He has also conducted assessments for victims of domestic violence and sexual crimes, offering crucial insights into victim credibility and trauma evaluation.

📖 Publications

Association between Single Nucleotide Polymorphisms in Monoamine Oxidase and the Severity of Addiction to Betel Quid
    • Authors: Chung-Chieh Hung, Ying-Chin Ko, Chia-Min Chung
    • Journal: Current Issues in Molecular Biology
    • Year: 2024
Cystine/Glutamate Antiporter in Schizophrenia: From Molecular Mechanism to Novel Biomarker and Treatment
    • Authors: Chung-Chieh Hung, Chieh-Hsin Lin, Hsien-Yuan Lane
    • Journal: International Journal of Molecular Sciences
    • Year: 2021
Characterization of Potential Protein Biomarkers for Major Depressive Disorder Using Matrix-Assisted Laser Desorption Ionization/Time-of-Flight Mass Spectrometry
    • Authors: Chieh-Hsin Lin, Hung Su, Chung-Chieh Hung, Hsien-Yuan Lane, Jentaie Shiea
    • Journal: Molecules
    • Year: 2021
An Ensemble Approach to Predict Schizophrenia Using Protein Data in the N-methyl-D-Aspartate Receptor (NMDAR) and Tryptophan Catabolic Pathways
    • Authors: Eugene Lin, Chieh-Hsin Lin, Chung-Chieh Hung, Hsien-Yuan Lane
    • Journal: Frontiers in Bioengineering and Biotechnology
    • Year: 2020
Effect of Antidepressants for Cessation Therapy in Betel-Quid Use Disorder: A Randomised, Double-Blind, Placebo-Controlled Trial
    • Authors: Chung-Chieh Hung, Chien-Hung Lee, Albert Min-Shan Ko, Chi-Pin Lee, Ying-Chin Ko
    • Journal: Epidemiology and Psychiatric Sciences
    • Year: 2020
Antidepressant-Induced Reduction in Betel-Quid Use in Patients with Depression: A Pioneer Clinical Study
    • Authors: Chung-Chieh Hung, Chien-Hung Lee, Chia-Min Chung, Hsien-Yuan Lane, Ying-Chin Ko
    • Journal: Medicine (Baltimore)
    • Year: 2020
Variants in FAT1 and COL9A1 Genes in Male Population with or without Substance Use to Assess the Risk Factors for Oral Malignancy
    • Authors: Chia-Min Chung, Chung-Chieh Hung, Chieh-Hsin Lin, Kuan-Tsa Yeh, Ying-Chin Ko
    • Journal: PLoS ONE
    • Year: 2019
Association of DSM-5 Betel-Quid Use Disorder with Oral Potentially Malignant Disorder in 6 Betel-Quid-Endemic Asian Populations
    • Authors: Chien-Hung Lee, Albert Min-Shan Ko, Frances M Yang, Chung-Chieh Hung, Saman Warnakulasuriya, Salah Osman Ibrahim, Rosnah Binti Zain, Ying-Chin Ko
    • Journal: JAMA Psychiatry
    • Year: 2018
Hypothyroidism May Exacerbate Valproate-Related Hyperammonemic Delirium
    • Authors: Chung-Chieh Hung, Chieh-Hsin Lin, Hsien-Yuan Lane
    • Journal: BioMedicine (Netherlands)
    • Year: 2016

Moltot Getahun Gebre | Environmental Data Analysis | Editorial Board Member

Mr. Moltot Getahun Gebre | Environmental Data Analysis | Editorial Board Member

Mr. Moltot Getahun Gebre at Werabe University, Ethiopia

👨‍🎓 Profiles

Early Academic Pursuits 📚

Moltot Getahun Gebre’s academic journey began at Jimma University, where he pursued a Bachelor of Science in Hydraulic and Water Resource Engineering from 2014 to 2019. With a strong academic record, Moltot graduated among the top five scorers in his class, reflecting his dedication and aptitude in the field. His undergraduate research focused on assessing the impacts of dam construction on stream flow in the Gibe River, an investigation that laid the foundation for his future work in environmental and water resource engineering.

Building on his undergraduate success, Moltot continued his studies at Jimma University, earning a Master of Science in Environmental Engineering from 2019 to 2021. Graduating with a remarkable CGPA of 3.95/4.00, he was the top scorer in his class. His thesis, titled “Removal of Pollutants from Coffee Processing Wastewater Using Indigenous Natural Coagulants: Optimization through Response Surface Methodology (RSM),” earned him high praise and an excellent grade. This advanced research demonstrated his commitment to addressing environmental challenges through innovative methods.

Professional Endeavors 🔧

Moltot’s professional career has been marked by a blend of practical experience and academic roles. Since 2022, he has been serving as a Lecturer and Researcher in Water Supply and Environmental Engineering at Werabe University in Werabe, Ethiopia. In this role, he contributes to shaping the next generation of engineers while advancing research in his field.

Prior to this, Moltot engaged in various roles that underscored his commitment to environmental engineering. During 2019–2020, he provided free technical lab services and tutorials for BSc students at Jimma University’s Institute of Technology, enhancing their practical understanding of environmental engineering principles. His internship experience with the Oromia Small Scale Irrigation Project in 2018 further honed his skills. As a site supervisor, he coordinated site activities, supervised labor, and ensured quality control, gaining invaluable hands-on experience in project management and site operations.

Contributions and Research Focus 🌍

Moltot’s research has significantly contributed to the field of environmental engineering. His published works include:

  • “Optimization of Indigenous Natural Coagulants Process for Nitrate and Phosphate Removal from Wet Coffee Processing Wastewater Using Response Surface Methodology” – This paper, published in the Journal of Case Studies in Chemical and Environmental Engineering (Elsevier), highlights his work on improving wastewater treatment processes using natural coagulants.
  • “Coagulation Process for the Removal of Color and Turbidity from Wet Coffee Processing Wastewater Using Bio-Coagulant” – Featured in Heliyon (Elsevier), this research explores optimization techniques for wastewater treatment through bio-coagulants.
  • “Chemical Oxygen Demand Removal from Wet Coffee Processing Wastewater Using Indigenous Natural Coagulants: Optimization through Response Surface Methodology” – Published in Desalination and Water Treatment (Elsevier), this study focuses on advanced methods for reducing chemical oxygen demand in wastewater.

Moltot is also engaged in ongoing research projects, including investigations into urban water supply sustainability in Werabe Town and a quantitative appraisal of water supply, sanitation, and hygiene facilities in Silt’e Zone. These projects reflect his commitment to addressing critical issues in water and sanitation.

Accolades and Recognition 🏅

Moltot’s contributions have been recognized through various certifications and awards. He holds a Certificate of Competence as a junior consultant in environmental and social impact assessment studies, and a Professional License from the Ethiopian Construction Authority as a Professional Environmental Engineer in water work design. His participation in diverse training programs, such as those on sustainable sanitation systems, project management, and artificial intelligence, further showcases his commitment to continuous learning and professional development.

Additionally, he received certificates of appreciation for his contributions to community projects and student union activities, highlighting his leadership and engagement beyond academic and professional realms.

Impact and Influence 🌟

Moltot’s work has had a notable impact on both his academic peers and the communities he serves. His research provides valuable insights into wastewater treatment and water resource management, contributing to improved environmental practices and policies. His role as a lecturer at Werabe University allows him to influence and mentor future engineers, imparting knowledge and skills essential for addressing environmental challenges.

His involvement in community projects, such as the construction of sanitary napkin changing rooms and his active participation in student unions, demonstrates his dedication to making a tangible difference in his community and beyond.

Legacy and Future Contributions 🚀

Moltot Getahun Gebre’s career is characterized by a blend of academic excellence, practical experience, and a strong commitment to environmental sustainability. His research, teaching, and community involvement lay the groundwork for a legacy of innovation and positive impact in environmental engineering.

Looking ahead, Moltot aims to continue advancing his research, particularly in the areas of water supply, sanitation, and wastewater treatment. His ongoing projects and dedication to professional development suggest a promising future, where he will likely continue to contribute to both academic knowledge and practical solutions in the field of environmental engineering.

In summary, Moltot’s journey is a testament to his dedication to environmental engineering and his impact on both the academic community and broader society. His work exemplifies the integration of research, teaching, and community service, setting a high standard for future professionals in the field.

📖 Publications

Coagulation Process for the Removal of Color and Turbidity from Wet Coffee Processing Industry Wastewater Using Bio-Coagulant: Optimization through Central Composite Design”
    • Authors: Moltot Getahun, Adisu Befekadu, Esayas Alemayehu
    • Journal: Heliyon
    • Year: 2024
Chemical Oxygen Demand Removal from Wet Coffee Processing Wastewater Using Indigenous Natural Coagulants: Optimization through Response Surface Methodology
    • Authors: Moltot Getahun, Perumal Asaithambi, Adisu Befekadu, Esayas Alemayehu
    • Journal: Desalination and Water Treatment
    • Year: 2024
Optimization of Indigenous Natural Coagulants Process for Nitrate and Phosphate Removal from Wet Coffee Processing Wastewater Using Response Surface Methodology: In the Case of Jimma Zone Mana District
    • Authors: Moltot Getahun, Perumal Asaithambi, Adisu Befekadu, Esayas Alemayehu
    • Journal: Case Studies in Chemical and Environmental Engineering
    • Year: 2023

Lakshminarayan Ranganath | Metabolic Medicine | Best Researcher Award

Prof Dr. Lakshminarayan Ranganath | Metabolic Medicine | Best Researcher Award

Prof Dr. Lakshminarayan Ranganath at University of Liverpool/Royal Liverpool University Hospital, United Kingdom

👨‍🎓 Profiles

👨‍⚕️ Academic background

Professor Lakshminarayan Ranganath is a distinguished British Indian medical professional, currently serving as a Professor in Clinical Chemistry at the University of Liverpool. He is also a Consultant Chemical Pathologist at Royal Liverpool University Hospital and holds multiple prestigious roles including Clinical Director of the National Alkaptonuria Centre and Chief Investigator of the DevelopAKUre Project. He can be reached at his work address: Department of Clinical Biochemistry and Metabolic Medicine, Liverpool University Hospitals, Prescot Street, Liverpool, UK, L7 8XP. For any queries, he is available on his work phone at ++44 (0151 706 4289), home phone at ++44 (0151 280 6459), and mobile at ++44 (07842849520). His preferred email for university correspondence is lrang@liv.ac.uk.

🎓 Professional and Academic Qualifications

Professor Ranganath’s academic journey is marked by extensive qualifications. He completed his MBBS and MD in General Medicine from the University of Madras, India. He furthered his education with an MSc in Clinical Biochemistry from the University of Surrey, UK, followed by MRCP in General Medicine and MRCPath in Chemical Pathology from the Royal College of Physicians and Royal College of Pathologists, respectively. He achieved his PhD from the University of Surrey and received Fellowships from the Royal College of Pathologists and the Royal College of Physicians of Edinburgh. His credentials also include CSci from the Association of Clinical Biochemistry UK, and he is listed with the European Association of Clinical Chemistry and the European Register of Specialists in Laboratory Medicine.

🏆 Awards and Honors

Throughout his career, Professor Ranganath has been recognized with numerous awards. In India, he received the UNC Rao Gold Medal for Anatomy and the T Sundara Reddy Memorial Prize. In the UK, he has been honored with the RARE Champion of Hope Medical Care and Treatment Award, the Golan and Christie Patient Impact Philanthropy Award, the Honorary Association of Clinical Biochemistry Membership Award, and the Association of Clinical Biochemistry and Laboratory Medicine Inaugural Impact Award.

🔬 Professional Contributions

Professor Ranganath has made significant contributions to the field of medical science. He has served on advisory boards for major pharmaceutical companies like Pfizer and Sobi, and has been an invited Guest Editor for the Journal of Inherited Metabolic Diseases. He has held roles such as Specialty Adviser on Chemical Pathology at the Royal College of Pathologists and Examiner in Clinical Biochemistry. He has also been involved in various scientific and organizing committees.

🧬 Alkaptonuria Research

A major focus of Professor Ranganath’s research is alkaptonuria (AKU). He co-founded the UK AKU Society and has been instrumental in establishing a dedicated research team. His work led to the successful coordination of the DevelopAKUre Project, which was pivotal in securing European Medicines Agency approval for nitisinone as a disease-modifying therapy for AKU. He is also engaged in developing novel treatments for AKU and has celebrated significant milestones like the 10-year anniversary of the National Alkaptonuria Centre in Liverpool.

📚 Non-Alkaptonuria Research

In addition to his work on alkaptonuria, Professor Ranganath has conducted pioneering research in incretin biology, particularly glucagon-like peptide 1 (GLP-1). His PhD studies were groundbreaking in identifying GLP-1 deficiency in obesity. He has authored several publications on GLP-1 and has mentored PhD students in this area.

🔍 Current Clinical Research

Currently, Professor Ranganath is leading various clinical research projects. As Principal Investigator, he is overseeing studies such as the Zolendronate Infusion in Prevention of Paget’s Study (ZIPP) and research on alkaptonuria. He is also collaborating on repurposing nitisinone for malaria and conducting follow-up studies on the outcomes of nitisinone therapy in AKU patients.

👨‍🎓 Research Students Supervised

Professor Ranganath has supervised numerous PhD students, focusing on topics like AKU, GLP-1, and biochemical studies. His mentorship has supported a diverse range of research projects, contributing significantly to advancements in these fields.

💰 Research Funding

Professor Ranganath has secured substantial funding for his research, including grants from the National Lottery, Childwick Trust, and European sources. His research efforts, particularly in alkaptonuria, have attracted over £10 million in funding, demonstrating the significant impact of his work.

📖 Books and Book Chapters

Professor Ranganath has authored and contributed to several influential books and book chapters. His works include contributions to texts on biochemistry, metabolism, and alkaptonuria, reflecting his extensive expertise and impact on these subjects.

📖 Publications

Joint replacement risk is markedly increased in alkaptonuria (AKU) in those with prior arthroplasty
    • Authors: Ranganath, L.R., Khedr, M., Norman, B.P., Gallagher, J.A., Bou-Gharios, G.
    • Journal: Molecular Genetics and Metabolism Reports
    • Year: 2024
Hepatobiliary circulation and dominant urinary excretion of homogentisic acid in a mouse model of alkaptonuria
    • Authors: Norman, B.P., Sutherland, H., Wilson, P.J.M., Bou-Gharios, G., Ranganath, L.R.
    • Journal: Journal of Inherited Metabolic Disease
    • Year: 2024
Correction to: Analysis of the Phenotype Differences in Siblings with Alkaptonuria (Metabolites, (2022), 12, 10, (990), 10.3390/metabo12100990)
    • Authors: Zatkova, A., Olsson, B., Ranganath, L.R., Imrich, R.
    • Journal: Metabolites
    • Year: 2024
Randomised trial of genetic testing and targeted intervention to prevent the development and progression of Paget’s disease of bone
    • Authors: Phillips, J., Subedi, D., Lewis, S.C., Gilchrist, N., Ralston, S.H.
    • Journal: Annals of the Rheumatic Diseases
    • Year: 2023
Clinical development innovation in rare diseases: overcoming barriers to successful delivery of a randomised clinical trial in alkaptonuria—a mini-review
    • Authors: Ranganath, L.R., Sireau, N.
    • Journal: Orphanet Journal of Rare Diseases
    • Year: 2023
Clinical presentation of 13 children with alkaptonuria
    • Authors: Kujawa, M.J., Świętoń, D., Wierzba, J., Ranganath, L., Piskunowicz, M.
    • Journal: Journal of Inherited Metabolic Disease
    • Year: 2023
Nitisinone Treatment Affects Biomarkers of Bone and Cartilage Remodelling in Alkaptonuria Patients
    • Authors: Genovese, F., Frederiksen, P., Bay-Jensen, A.-C., Gallagher, J.A., Ranganath, L.R.
    • Journal: International Journal of Molecular Sciences
    • Year: 2023
Evaluation of Homogentisic Acid, a Prospective Antibacterial Agent Highlighted by the Suitability of Nitisinone in Alkaptonuria 2 (SONIA 2) Clinical Trial
    • Authors: Ooi, N., Cooper, I.R., Norman, B., Ranganath, L.R., Savage, V.J.
    • Journal: Cells
    • Year: 2023
First decade anniversary of the United Kingdom National Alkaptonuria Centre
    • Authors: Khedr, M., Sireau, N., Bou-Gharios, G., Gallagher, J.A., Ranganath, L.R.
    • Journal: JIMD Reports
    • Year: 2023

Emmanuel Pintelas | Few-shot learning | Best Researcher Award

Dr. Emmanuel Pintelas | Few-shot learning | Best Researcher Award

Doctorate at Department of Electrical and Computer Engineering, University of Peloponnese, Greece

👨‍🎓 Profiles

👤Academic Background

Emmanuel Pintelas is a Postdoctoral Researcher in the Department of Electrical and Computer Engineering at the University of Peloponnese. He excels in computer vision, deep learning, and video analytics. His notable achievements include high placements in international competitions and numerous publications in esteemed journals.

🎓 Education

  • Ph.D. in Mathematics and Computer Science (Feb 2020 – Aug 2023)
    University of Peloponnese, Greece
    Dissertation: “Interpretable Machine Learning Frameworks for Image Classification”
  • M.Sc. in Technologies and Services of Intelligent Information Systems and Communications (Sep 2020 – Apr 2022)
    University of Peloponnese, Greece
    Dissertation: “Deep Neural Networks for Bitcoin Price Prediction”
  • B.Sc. in Electrical & Computer Engineering (Sep 2008 – Feb 2018)
    University of Patras, Greece
    Focus: Automatic electrical-virtual-machines for grid supply stability and control.

💼 Professional Experience

  • Postdoctoral Researcher (Sep 2023 – Present)
    University of Peloponnese
    Specializes in computer vision, deep learning, and video analytics. Involved in research paper writing, course instruction, and distributed programming.
  • Internship Scholarship (Jun 2022 – Aug 2022)
    Archimedes Unit
    Collaborated on AI challenges, proposed solutions in computer vision, and engaged with leading researchers.
  • Technical Manager and Shareholder (2012 – 2016)
    Φωτοβολταικα Αγιου Βασιλείου ΙΚΕ
    Managed operation and maintenance of solar parks.
  • Shareholder and Manager (2016 – Present)
    Φωτοβολταικα Αγίου Βασιλείου ΙΚΕ
    Oversees remote management and optimization of solar park production.

🔬 Research Interests

Emmanuel’s research focuses on computer vision, deep learning, and time-series analysis, with applications in medical imaging, object detection, deepfake detection, and few-shot learning. He is particularly interested in developing interpretable machine learning frameworks and innovative deep learning architectures.

🏆 Accomplishments

  • NeurIPS 2022 Competitions: Achieved 2nd place in the Cross-Domain MetaDL challenge.
  • Kaggle Competitions: Awarded a Bronze Medal in the RANZCR CLiP medical imaging challenge.

📖 Publications

Adaptive Augmentation Framework for Domain Independent Few Shot Learning
    • Authors: Pintelas, E., Livieris, I.E., Pintelas, P.
    • Year: 2024
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
    • Authors: Livieris, I.E., Pintelas, E., Kiriakidou, N., Pintelas, P.
    • Year: 2023
XSC—An eXplainable Image Segmentation and Classification Framework: A Case Study on Skin Cancer
    • Authors: Pintelas, E., Livieris, I.E.
    • Year: 2023
A Multi-View-CNN Framework for Deep Representation Learning in Image Classification
    • Authors: Pintelas, E., Livieris, I.E., Kotsiantis, S., Pintelas, P.
    • Year: 2023
Explainable Feature Extraction and Prediction Framework for 3D Image Recognition Applied to Pneumonia Detection
    • Authors: Pintelas, E., Livieris, I.E., Pintelas, P.
    • Year: 2023
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and Lessons Learned
    • Authors: Carrión-Ojeda, D., Alam, M., Escalera, S., … Wu, J., Yin, X.
    • Year: 2023

Zhen Yang | Data Visualization | Best Researcher Award

Dr. Zhen Yang | Data Visualization | Best Researcher Award

Doctorate at Arthritis Clinical and Research Center, China

👨‍🎓 Profile

🔬Academic Background

Zhen Yang is a dedicated doctoral candidate at the Arthritis Clinical and Research Center of Peking University People’s Hospital. His work focuses on understanding and treating osteoarthritis through advanced tissue engineering and regenerative medicine.

🎓 Education

  • Doctoral Candidate, Arthritis Clinical and Research Center, Peking University People’s Hospital

💼 Professional Experience

Zhen Yang has spent three years in graduate-level coursework and research, focusing on cartilage and meniscus tissue engineering. He has been involved in developing osteochondral organs for tissue regeneration, creating a 3D dynamic culture system to enhance extracellular vesicle production, and investigating articular cartilage lubrication. His efforts have led to contributions in creating a super-lubricating hydrogel.

🔍 Research Interests

  • Cartilage and meniscus tissue engineering
  • Regenerative medicine for osteoarthritis
  • Osteochondral organ development
  • 3D dynamic culture systems for extracellular vesicle production
  • Articular cartilage lubrication and super-lubricating hydrogels

📖 Publications

Advances in Shear Stress Stimulation of Stem Cells: A Review of the Last Three Decades
    • Authors: Qiyuan Lin, Zhen Yang, Hao Xu, Yudi Niu, Qingchen Meng, Dan Xing
    • Year: 2024
    • Journal: Biomedicines
In situ self-assembled organoid for osteochondral tissue regeneration with dual functional units
    • Authors: Zhen Yang, Bin Wang, Wei Liu, Xiaoke Li, Kaini Liang, Zejun Fan, Jiao Jiao Li, Yudi Niu, Zihao He, Hui Li et al.
    • Year: 2023
    • Journal: Bioactive Materials
Integrated bioactive scaffold with aptamer‐targeted stem cell recruitment and growth factor‐induced pro‐differentiation effects for anisotropic meniscal regeneration
    • Authors: Hao Li, Tianyuan Zhao, Fuyang Cao, Haoyuan Deng, Songlin He, Jianwei Li, Shuyun Liu, Zhen Yang, Zhiguo Yuan, Quanyi Guo
    • Year: 2022
    • Journal: Bioengineering & Translational Medicine
Microenvironmentally optimized 3D-printed TGFβ-functionalized scaffolds facilitate endogenous cartilage regeneration in sheep
    • Authors: Zhen Yang, Fuyang Cao, Hao Li, Songlin He, Tianyuan Zhao, Haoyuan Deng, Jianwei Li, Zhiqiang Sun, Chunxiang Hao, Jianzhong Xu et al.
    • Year: 2022
    • Journal: Acta Biomaterialia
Nerve growth factor (NGF) and NGF receptors in mesenchymal stem/stromal cells: Impact on potential therapies
    • Authors: Kangkang Zha, Yu Yang, Guangzhao Tian, Zhiqiang Sun, Zhen Yang, Xu Li, Xiang Sui, Shuyun Liu, Jinmin Zhao, Quanyi Guo
    • Year: 2021
    • Journal: STEM CELLS Translational Medicine
Endogenous cell recruitment strategy for articular cartilage regeneration
    • Authors: Zhen Yang, Hao Li, Zhiguo Yuan, Liwei Fu, Shuangpeng Jiang, Cangjian Gao, Fuxin Wang, Kangkang Zha, Guangzhao Tian, Zhiqiang Sun et al.
    • Year: 2020
    • Journal: Acta Biomaterialia