Category: Biography

Exploring the frontiers of user experience design: Vr, ar, and the future of interaction

Summary of Suitability for Best Researcher Award

Dr. B. Hari Chandana, an accomplished academic with over 18 years of teaching and research experience, is a strong and deserving candidate for the Best Researcher Award. Her career reflects a consistent commitment to advancing the fields of Computer Science, Image Processing, and Artificial Intelligence, as well as mentoring the next generation of researchers and professionals.

🎓 Education Qualifications

🧠 Ph.D. in Computer Science & Technology
📅 2016–2020
🏫 Sri Krishnadevaraya University, Anantapur, Andhra Pradesh
📌 Research Area: Image Processing
📜 Thesis: Security Features of Indian Currency Recognition Based on Texture Classification Using SVM Classifier
💻 M.Tech in Information Technology
📅 2012–2014
🏫 Karnataka State Open University, Mysore
🏅 Division: Distinction (84.12%)
🧑‍💻 M.Sc. in Computer Science
📅 2004–2006
🏫 Sri Krishnadevaraya University, Anantapur
🏅 Division: Distinction (82.4%)

💼 Professional Experience

👩‍🏫 Associate Professor, Dept. of Computer Science & Engineering
🏫 Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh
📅 2021 – Present
👩‍🏫 Assistant Professor, Dept. of CSE
🏫 Sir C.V. Raman Institute of Technology and Sciences
📅 June 2013 – March 2016
👩‍🏫 Lecturer, Dept. of Computer Science
🏫 Nalanda Degree College, Anantapur
📅 June 2006 – May 2013
📚 PG Classes Instructor (During Ph.D.)
🏫 Sri Krishnadevaraya University
📅 2016–2020

🕰️ Total Teaching Experience: 18+ Years

🏆 Achievements & Qualifications

✅ Qualified NET (National Eligibility Test)
📅 June 2020
🖥️ Subject: Computer Science & Applications
✅ Qualified AP-SET (Andhra Pradesh State Eligibility Test)
📅 2019
🖥️ Subject: Computer Science & Applications

Publication Top Notes:

CITED:9

Introduction of virtual environment with personalized content recommendation for realistic avatar creation in online platform using machine learning

CITED:4

Convolution neural network based enhanced computerized technique for brain tumour detection

CITED:2

Integrating Machine Learning for Soil Pollution Prediction And Avoidance: A Comprehensive Framework for Sustainable Land Management

CITED:1

Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro-and Macro-analysis in Hardware Support Packages

CITED:1

HIDDEN SECURITY FEATURES FOR THE RECOGNITION OF FAKE CURRENCY.

CITED:1

Mr. Namwinwelbere Dabire | Watershed | Best Researcher Award

Posted on 16/04/2025 by ScienceFather

Mr. Namwinwelbere Dabire | Watershed | Best Researcher Award

Mr. Namwinwelbere Dabire, Université Abomey Calavi, Benin

Namwinwelbere Dabire is a Ph.D. candidate in Water Engineering and Applications at the University of Abomey-Calavi, Benin. With a strong interdisciplinary background in computer science and hydrology, he holds a Master’s degree in Software Engineering and Information Systems, an Engineering degree in Hydrology, and a Bachelor’s degree in Information Systems and Telecommunications from Joseph Ki Zerbo University in Burkina Faso. His research bridges Artificial Intelligence and Environmental Sciences, focusing on machine learning, deep learning, climate change, hydrological modeling, flood frequency analysis, and water resources management. He has published multiple scientific papers, including recent works on water quality and level prediction of Lake Nokoué using advanced AI models like random forests and LSTM networks. Namwinwelbere has participated in prominent international conferences such as the WCRP Open Science Conference and the Climate Informatics Conference. As an educator, he has taught a wide range of subjects from AI and data mining to hydrometeorology and watershed hydrology. His technical expertise spans Python, R, and GIS tools like QGIS. Fluent in French and proficient in English, he is committed to contributing to sustainable water management and climate adaptation strategies in West Africa and beyond.

Professional Profile:

Summary of Suitability for Best Researcher Award

Namwinwelbere Dabire is a highly multidisciplinary and impactful researcher whose work spans Artificial Intelligence, Climate Change, Hydrology, and Remote Sensing. His unique integration of Machine Learning with Water Engineering solutions places him at the cutting edge of applied environmental science and data-driven hydrological modeling, making him an excellent candidate for the Best Researcher Award.

🎓 Education

📘 Ph.D. Candidate in Water Engineering and Applications (2021–2024)
University of Abomey Calavi, Benin
💻 Master’s Degree in Computer Science – Software Engineering & Information Systems (2018)
Joseph Ki Zerbo University, Burkina Faso
💧 Engineering Degree in Hydrology (2020)
AGRHYMET Regional Center, Niamey, Niger
📡 Bachelor’s Degree in Science & Technology – Information Systems and Telecommunications (2015)
Joseph Ki Zerbo University, Burkina Faso
🧪 Scientific Baccalaureate, Series D (2011)
Provincial High School of Diebougou, Burkina Faso

💼 Teaching & Work Experience

🧠 Lecturer & Trainer in:
- Artificial Intelligence (Machine Learning & Deep Learning)
- Data Mining & Programming
- Hydrology, Hydro-meteorology & Water Resources Management
  (Various academic institutions & training projects)
🌍 Trainer for specialized programs:
- Flood Risk Mapping using Geospatial Tech – 2iE (Oct 2023)
- Hydrological Modeling Training – PAEA Project (Sep 2023)

🏆 Achievements, Awards & Honors

🌐 International Conference Presenter:
- HydroML 2023 (Berkeley Lab)
- World Climate Research Program (Rwanda, Oct 2023)
- 13th Int. Conference on Climate Informatics (London, Apr 2024)
📝 Publications:
- IJAR (2024): Water Quality Index of Lake Nokoué using ML
- Hydrology (2024): LSTM-based Lake Nokoué water level forecasting
- EJEES (2022): Study on Flooding & Water Quality of Lake Nokoué
📜 Advanced-Level Trainings Attended:
- Climate Change Adaptation & Mitigation – SMHI, Sweden (2022)
- Hydrological Modeling (GR4J, WEAP) – WASCAL, COWI, AGRHYMET
- Early Flood Alerts & Risk Management – AGRHYMET, Niger
- Transboundary Basin Management – EAD, Egypt

Publication Top Notes:

Determination of Hydrological Flood Hazard Thresholds and Flood Frequency Analysis: Case Study of Nokoue Lake Watershed

Determination of Hydrological Flood Hazards Thresholds and Flood Frequency Analysis: Case of Nokoue Lake Watershed

Probabilistic Flood Modeling in the Lake Nokoue Basin Using Statistical Models

Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network

water Quality index of lake nokoue prediction using random forest and neural network

Current State of Flooding and Water Quality of Nokoue Lake in Benin (Ouest Africa)

Ms. Maria Nuria Conejero | Agriculture | Best Researcher Award

Posted on 16/04/202516/04/2025 by ScienceFather

Ms. Maria Nuria Conejero | Agriculture | Best Researcher Award

Ms. Maria Nuria Conejero, Universidad Politécnica de Madrid, Spain

Mª Nuria Conejero Rodríguez is a Robotics Research Engineer at the Centro de Automática y Robótica (CAR) UPM-CSIC, currently working on the FlexiGroBots project. She holds a Ph.D. position in Automation and Robotics at the Polytechnic University of Madrid, building on her Master’s Degree in Robotics and Automation from Carlos III University of Madrid and a Bachelor’s in Industrial Electronics and Automation Engineering from the Polytechnic University of Valencia. With a passion for robotics and its future potential, she has gained valuable experience through roles such as a Research Fellow at CAR and an internship at Embention Sistemas Inteligentes. Mª Nuria’s dedication to the field is demonstrated by her achievements, including the Cátedra Fundación Torrecid Award for the best Final Degree Project and a top 3 finish in the National Ranking of Industrial Electronic Engineering and Automation. Proficient in a range of technologies, including ROS, Python, and various robotics simulators, she is driven by a strong desire to contribute to innovative research in robotics and automation.

Professional Profile:

SCOPUS
ORCID

Summary of Suitability for Best Researcher Award

Maria Nuria Conejero Rodríguez is a highly talented and dedicated researcher in the field of Robotics and Automation, with a strong foundation in industrial electronics, robotic systems, and control systems. Her academic background, combined with her impressive research experience and hands-on work with advanced robotic projects, makes her an exceptional candidate for the Best Researcher Award.

🎓 Education

PhD in Automation and Robotics
Polytechnic University of Madrid | 09/2023-Present
Master’s Degree in Robotics and Automation
Carlos III University of Madrid | 09/2020 – 06/2022
Degree in Industrial Electronics and Automation Engineering
Polytechnic University of Valencia | 09/2016 – 06/2020
ARA Group (High Academic Achievement)
Erasmus Stay
University of Skövde, Sweden | 09/2019 – 01/2020

💼 Work Experience

Robotics Researcher Engineer
Centro de Automática y Robótica (CAR) UPM-CSIC | 08/2022-Present
Project: FlexiGroBots
Research Fellow
Centro de Automática y Robótica (CAR) UPM-CSIC | 10/2021-06/2022
JAE Fellowship Intro 2021
Internship at Embention Sistemas Inteligentes, SL
Alicante, Spain | 07/2019-08/2019
Control Area

🏆 Achievements

IT Skills:

Programming & Software: ROS, Python (+OpenCV), Matlab, C/C++, GitHub, Arduino, LaTeX, Robot Simulators (Gazebo, OpenRave), RobotStudio, Mathematica, Blender, Motive
Machine/Deep Learning, Proteus, Microsoft Office

Languages:

English: Cambridge Certificate of Proficiency in English (CPE)

🏅 Awards and Honors

Cátedra Fundación Torrecid Award
For the Best Final Degree Project (2019/2020 academic year)
3rd Position
National Ranking of Industrial Electronic Engineering and Automation 2020 of the Spanish Society of Academic Excellence
Best University Entrance Record
Award for students with the best university entrance record (2016/2017 academic year)

Publication Top Notes:

A collaborative robotic fleet for yield mapping and manual fruit harvesting assistance

Collaborative Harvest Robot

Prof. Yuxin Zhao | Gas Sensors | Best Researcher Award

Posted on 16/04/2025 by ScienceFather

Prof. Yuxin Zhao | Gas Sensors | Best Researcher Award

Prof. Yuxin Zhao, CNPC Tubular Goods Research Institute, China

Prof. Yuxin Zhao is a leading expert in smart sensor technology and nanoscience, currently serving as a Professor and Principal Investigator at the CNPC Tubular Goods Research Institute (TGRI) in Xi’an, China. He previously held professorial and research positions at Xi’an Jiaotong University and Sinopec RISE, where he spearheaded groundbreaking work in smart gas sensors and nanoscale material synthesis. Prof. Zhao earned his Ph.D. in Chemical Engineering and a B.Sc. in Material Chemistry from China University of Petroleum (East), and was a visiting research fellow in micro-manufacturing at Griffith University, Australia. His research interests include smart gas sensors, on-chip directed self-assembly, in-situ probe scanning, light-thermal management, and nanomaterial synthesis. Recognized nationally for his innovation, Prof. Zhao has received numerous prestigious awards, including the China Invention Patent Award and the Young Scientist Award from the China Instrument and Control Society. His work continues to advance the frontiers of sensor technology and applied nanoscience.

Professional Profile:

ORCID
SCOPUS

Summary of Suitability for Best Researcher Award

Prof. Yuxin Zhao stands out as an exceptional and forward-thinking researcher with groundbreaking contributions in smart sensor technology, nanomaterials, and chemical engineering. With a career spanning academia, industrial innovation, and international collaboration, his work continues to shape the future of sensor systems, nanofabrication, and energy-related technologies, making him an outstanding candidate for the Best Researcher Award.

🎓 Education

📘 Ph.D. in Chemical Engineering
China University of Petroleum (East), Qingdao, China
Sept 2009 – Dec 2014
🧪 B.Sc. in Material Chemistry
China University of Petroleum (East), Qingdao, China
Sept 2005 – June 2009

💼 Work Experience

👨‍🏫 Professor in Smart Sensor
China National Petroleum Corporation (CNPC), Xi’an, China
Aug 2023 – Present
🔬 Role: Principal Investigator
👨‍🔬 Professor in Nanoscience
Xi’an Jiaotong University, Xi’an, China
Feb 2019 – June 2023
🔬 Role: Principal Investigator
🧑‍🏭 Scientist in Smart Gas Sensor
SINOPEC RISE, Qingdao, China
Jan 2015 – July 2019
⚙️ Role: Senior Engineer
🌏 Visiting Scholar in Micro-Manufacturing
Griffith University, Australia
Oct 2012 – May 2014
🔬 Role: Research Fellow

🏆 Awards & Honors

🧑‍🔬 Young Scientist Award, China Instrument and Control Society (2023)
🥈 Second Prize, Shandong Provincial Invention Patent Award (2022)
💡 China Invention Patent Award (2022)
🔍 SINOPEC Prospective Research Award (2019)
🎓 Young Talent Scholarship, Xi’an Jiaotong University (2018)
🚀 Science and Technology Progress Award (2016)
📖 Provincial Excellent Doctoral Dissertation (2016)
🌍 CSC Scholarship, Chinese Scholarship Council (2012)

Publication Top Notes:

Advances in Early Warning of Thermal Runaway in Lithium‐Ion Battery Energy Storage Systems

CCUS: A Panacea or a Placebo in the fight against climate change?

Colorful Ultralong Room Temperature Phosphorescent Afterglow with Excitation Wavelength Dependence Based on Boric Acid Matrix

Toward highly sensitive, selective, and stable palladium‐based MEMS gas sensors for hydrogen energy security

The bottleneck and innovation key of MEMS-based metal oxide semiconductors gas sensor for petrochemical industry

Challenges and Opportunities of Chemiresistors Based on Microelectromechanical Systems for Chemical Olfaction

Schottky Contacts Regularized Linear Regression for Signal Inconsistency Circumvent in Resistive Gas Micro‐Nanosensors

Engineering a Copper@Polypyrrole Nanowire Network in the Near Field for Plasmon-Enhanced Solar Evaporation

Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Posted on 16/04/2025 by ScienceFather

Ms. Darasimi Olorunlowu | Neuroscience | Best Researcher Award

Ms. Darasimi Olorunlowu, Genomac Institute Inc. Nigeria

Darasimi Racheal Olorunlowu is a highly motivated Anatomy graduate from Ladoke Akintola University of Technology (LAUTECH), Nigeria, with a strong academic foundation and a CGPA of 4.17/5.00. With a deep passion for neurobiology and genomic research, particularly in the area of neurodegeneration, she has gained hands-on experience in histological techniques, molecular biology, and bioinformatics through her roles as a Research Assistant with the LAUTECH Neuroscience Group and as a current Research Intern at Genomac Institute Inc. Darasimi has also served as an academic tutor during her National Youth Service, where she mentored students in applied biology and neuroscience. Her technical proficiencies span PCR, DNA/RNA extraction, histological staining, neuroanatomical mapping, and data analysis using tools like R, SPSS, and GraphPad Prism. She is passionate about advancing knowledge in neuroscience and genomics and is committed to contributing meaningfully to cutting-edge biomedical research.

Professional Profile:

The socioeconomic impact of Lassa fever in Nigeria

Summary of Suitability for Best Researcher Award

Darasimi Racheal Olorunlowu is a highly motivated and emerging researcher in the fields of neuroscience, genomics, and neurodegeneration, with a strong foundation in anatomy and biomedical research. Her dedication to understanding complex biological systems and her practical experience with advanced research methodologies make her a compelling candidate for the Best Researcher Award.

🎓 Education

Royalpath College, Akute, Lagos, Nigeria
🗓️ Jan 2013 – Aug 2016
📜 Senior Secondary School Certificate
📘 Relevant Subjects: Mathematics, English, Chemistry, Physics, Biology
Ladoke Akintola University of Technology (LAUTECH), Nigeria
🗓️ Jan 2017 – Aug 2023
🎓 Bachelor of Technology in Anatomy
📊 CGPA: 4.17 / 5.00 (Equivalent: 3.63 / 4.00)
🧠 Relevant Coursework: Neuroanatomy, Neurophysiology, Neurobiochemistry, Histopathology, Pharmacology

💼 Work & Research Experience

🔬 Research Intern – Genomac Institute Inc.
🗓️ Jan 2025 – Present
🧬 Bioinformatics pipeline development, NGS analysis, R & Geneious usage, SPSS-based reports
📘 Academic Tutor (NYSC)
🗓️ Nov 2023 – Oct 2024
🎯 Taught applied biology & neuroscience, organized tutorials, and mentored students
🧪 Research Assistant – LAUTECH Neuroscience Group
🗓️ Feb 2023 – Dec 2024
🧠 Focus on neurodegeneration: histological staining, SPSS/SAS data analysis, literature review, presentations
🧫 Undergraduate Researcher
🗓️ Jan 2022 – Mar 2022
💊 Studied hepatotoxicity of antimalarial drugs, tissue analysis, ethical animal handling
🏥 Histopathology Intern – LAUTECH Teaching Hospital
🗓️ Aug 2021 – Nov 2021
🔍 Assisted in dissecting and analyzing neurological tissues, neuropath slides examination

🏆 Achievements, Awards & Honors

📚 Co-authorship in Peer-Reviewed Journals
✅ Contributed to neuroscience manuscripts with literature analysis & data interpretation
📊 Advanced Data Analysis Skills
🎖️ Proficient in SPSS, R, SAS, GraphPad for bio-data and neuroimaging interpretation
🧠 Contributions to Neurodegeneration Research
🏅 Conducted studies identifying neural tissue alterations and therapeutic targets
🎓 Graduated with Honors
🌟 Achieved a First Class/Upper Credit equivalent CGPA in a competitive Anatomy program

Publication Top Notes:

Molecular mechanism underlying stress response and adaptation

In silico analysis of hub genes and regulatory networks implicates the putamen in non-motor Parkinson’s disease disorders

Unraveling the Complex Tapestry of Mental Stress: a Multifaceted Exploration of Pathways, Consequences, and Remedies

Neurogenomics contribution to neurodegenerative diseases

Discover Public Health

Prof. Sadegh Alijani | Genetics | Best Researcher Award

Posted on 15/04/2025 by ScienceFather

Prof. Sadegh Alijani | Genetics | Best Researcher Award

Prof. Sadegh Alijani, University of Tabriz, Iran

Sadegh Alijani is an Iranian professor specializing in animal breeding, genetics, and statistical methods in livestock science. He earned his B.Sc. in Animal Science from the University of Shahid Chamran, followed by an M.Sc. in Animal Breeding and Genetics from the University of Tabriz, and a Ph.D. from the University of Tehran, consistently ranking first in his academic programs. Dr. Alijani has extensive teaching experience at the University of Tabriz, where he has lectured on subjects ranging from genetics and statistics to experimental design and advanced statistical methods across undergraduate, master’s, and doctoral levels. His research focuses on the application of Bayesian statistics, genetic markers, and molecular genetics in animal breeding. He has served in administrative roles, including Deputy of the Khalat Poushan Research Station and Head of the Central Laboratory at the Faculty of Agriculture. With a strong publication record in peer-reviewed journals and a history of supervising numerous M.Sc. theses, Dr. Alijani continues to contribute significantly to the fields of animal genetics and statistical modeling.

Professional Profile:

🏆 Summary of Suitability for the Best Researcher Award

Prof. Sadegh Alijani is an exemplary candidate for the Best Researcher Award based on his exceptional academic achievements, sustained research output, and impactful teaching and leadership roles over more than two decades in the field of animal breeding, molecular genetics, and statistical methods.

🎓 Educational Background

B.Sc. in Animal Science
📍 University of Shahid Chamran – 1992
🏅 Rank: 1st
M.Sc. in Animal Breeding and Genetics
📍 University of Tabriz – 1997
🏅 Rank: 1st
📘 Thesis: “Efficiency of advanced statistical methods in animal breeding and genetics and their application in breeding of native Turkey of Azarbaijan”
Ph.D. in Animal Breeding and Genetics
📍 University of Tehran – 2009
🏅 Rank: 1st
📘 Thesis: “Major genes detection in farm animals using Bayesian statistical methods and genetic markers”

👨‍🏫 Teaching Experience

🧮 Application of statistics in animal breeding (M.Sc.) — 2003–Present
📊 Advanced statistical methods (SAS) (M.Sc.) — 1999–Present
🧬 Genetics (B.Sc.) — 2000–Present
🎲 Statistics and probability (B.Sc.) — 1999–Present
🧪 Experimental design in animal science (B.Sc.) — 2004–Present
🐔 Poultry breeding (B.Sc.) — 1999–Present
📉 Estimation of variance–covariance (Ph.D.) — 2012–Present
📈 Linear model in animal breeding (Ph.D.) — 2012–Present

🏢 Academic and Administrative Positions

Lecturer (1999–2003)
Assistant Professor (2003–2013)
Associate Professor (2013–2021)
Professor (2021–Present)
📍 University of Tabriz
🧪 Deputy of Research Station, Faculty of Agriculture – 1999–2000
🧫 Head of Central Laboratory, Faculty of Agriculture – 2011–2014

🧑‍🎓 Graduate Supervision

🐮 Genetic parameters in Sarabi cattle
🧬 Kappa casein polymorphism in Holstein & native cattle
🌡️ Heat stress impact on broilers
🐑 Growth traits in Lori sheep
🍗 Broiler performance with different fat sources
🐥 Cottonseed meal in broiler diet
🧵 Fleece characteristics in hybrid sheep
🩸 Vitamin supplementation effects in calves
🐄 Genetic potential via test-day records (Zanjan Univ.)
🍼 Lactation curve studies (Zanjan Univ.)

🏆 Achievements & Honors

📚 Ranked 1st in B.Sc., M.Sc., and Ph.D. studies
🧠 Expertise in Bayesian statistical methods, molecular genetics & genomics
✍️ Published over 15+ research papers in international journals
💻 Specialized in SAS software and advanced modeling
📈 Pioneer in applying random regression models and genotype-environment interaction studies in Iranian livestock
🎓 Active mentor for M.Sc. and Ph.D. students in animal breeding

Publication Top Notes:

Application of a random forest algorithm to estimate marker effects and identify candidate genes for reproductive traits in Iranian Holstein dairy cattle

Effect of Dietary Amaranth (Amaranthus hybridus chlorostachys) Supplemented with Enzyme Blend on Egg Quality, Serum Biochemistry and Antioxidant Status in Laying Hens

Searching for Possible Association between Six Microsatellite Markers and Suppression of Mite Reproduction (SMR) Trait in Honey Bees

Genomic Selection Signatures in Two French and Swedish Holstein Cattle Breeds Provide Evidence for Several Potential Candidate Genes Linked to Economic Traits

Molecular Screening of Varroa-Resistant Trait of Honey Bee Colonies based on NorpA2 Candidate Gene Polymorphism: A Genetic Case-Control Study

Supplementation of broiler chicken diets with bovine lactoferrin improves growth performance, histological parameters of jejunum and immune-related gene expression

Mrs. Klytaimnistra Katsara | Microplastics | Best Researcher Award

Posted on 15/04/2025 by ScienceFather

Mrs. Klytaimnistra Katsara | Microplastics | Best Researcher Award

Mrs. Klytaimnistra Katsara, IESL-FORTH, Greece

Klytaimnistra Katsara is a Greek researcher with a strong interdisciplinary background in Materials Science, Chemistry, and Spectroscopy. She holds a Bachelor’s degree in Materials Science and Technology and an M.Sc. in Chemistry with a focus on Biochemistry, both from the University of Crete. Currently a Ph.D. candidate at the Department of Agriculture of the Hellenic Mediterranean University, she specializes in the application of Raman and ATR spectroscopy to biological and inorganic materials. Her research spans microplastics migration in food and packaging, biomolecular analysis, and environmental chemistry. Klytaimnistra has contributed to several European research projects, including “PANTHEON” (H2020-MSCA-RISE) and “NanoBioPack,” working across institutions such as IESL-FORTH and IMBB-FORTH. She has hands-on experience with advanced spectroscopic techniques (Raman, FT-IR, UV/VIS), GC-MS for nanoplastics detection, and environmental testing for water and food safety. Her passion lies in combining analytical chemistry and materials science to address contemporary issues in health, food safety, and the environment.

Professional Profile:

🏆 Summary of Suitability for the Best Researcher Award

Klytaimnistra Katsara is highly deserving of the Best Researcher Award due to her exceptional academic background, significant research contributions, and strong interdisciplinary approach. Her work spans materials science, chemistry, and spectroscopy, with a focus on biomaterials, microplastics, and biochemistry, making her a key innovator in the field.

Education 📚

M.Sc. in Biochemistry, Chemistry Department
University of Crete (03/2019)
- Dissertation: “Study of lymphoma cell lines before and after Nutlin-3a induced wild type (wt) p53-activation by Raman spectroscopy”
- GPA: 8.17 – “Very Good”
- Supervisor: Prof. D. Ghanotakis
Bachelor in Materials Science and Technology
University of Crete (11/2016)
- Thesis: “A study of self-organization of porphyrins, linked with the diphenylalanine peptide”
- GPA: 7.74 – “Very Good”
- Supervisor: Prof. Anna Mitraki
Music Diploma in Piano 🎹
Conservatory “Music Horizons” of Kostas Gaetanos, Athens, Greece (07/2016)

Work Experience 💼

Specialized Technician Scientist
PPM Group, IESL-FORTH (George Kenanakis Lab) (01/2022 – Present)
- Conducts Raman/ATR measurements
- Works on the “NanoBioPack” program (01/02/2022 – 31/04/2023)
PhD Candidate
Department of Agriculture, Hellenic Mediterranean University (30/11/2021 – Present)
Active Member
BIONDT LAB, IMBB, FORTH
- Focus on non-destructive testing of biomaterials
  Website
Research Assistant – Laboratory Technician
European Program H2020-MSCA-RISE-2019, “PANTHEON”, IMBB (01/08/2020 – 31/07/2021)
- Experimental Raman, FT-IR, and UV/VIS spectroscopy of biological materials
- Secondment to “Signinum” in Portugal
Research Assistant – Laboratory Technician
NFFA-Europe, IESL (01/2020 – 08/2020)
- Conducted spectroscopy of biological materials
Internship – Laboratory Assistant
DODECA LABS IKE, Rhodes, Greece (03/07/2019 – 06/09/2019)
- Assisted in chemical and microbiological analyses
Lab Member
Institute of Molecular Biology and Biotechnology (IMBB), FORTH (01/2018 – 03/2019)
- Contributed to molecular biology research
Laboratory Assistant
University of Crete, Biochemistry and Analytical Chemistry Labs (09/2017 – 05/2018)
- Assisted in UV/Visible spectrophotometry experiments

Achievements 🏆

Successfully completed a M.Sc. in Chemistry with a focus on biochemistry and Raman spectroscopy.
Contributed to interdisciplinary research projects in Raman and ATR spectroscopy, applied to food, water, and microplastics analysis.
Played an instrumental role in the PANTHEON project under the H2020-MSCA-RISE-2019 program.

Awards & Honors 🎖

Awarded “Very Good” GPA for M.Sc. dissertation on lymphoma cell lines analysis.
Recognized for excellence in experimental work on Raman spectroscopy in multiple international research programs.

Publication Top Notes:

Microplastic Migration from Food Packaging on Cheese

Encapsulation of molecular chromophores in phosphate glass towards improved stability against photodegradation

Microplastics’ Detection in Honey: Development of Protocols in a Simulation

Engraved Split-Ring Resonators as Potential Microwave Sensors for Olive Oil Quality Control

Dielectric Behavior of Stretchable Silicone Rubber–Barium Titanate Composites

Three-Dimensional-Printed Photocatalytic Sponges Decorated with Mn-Doped ZnO Nanoparticles

Label-Free Human Disease Characterization through Circulating Cell-Free DNA Analysis Using Raman Spectroscopy

Mr. Koagne Silas | Neural Networks | Pioneer Researcher Award

Posted on 15/04/2025 by ScienceFather

Mr. Koagne Silas | Neural Networks | Pioneer Researcher Award

Mr. Koagne Silas, University of Dschang, Cameroon

KOAGNE LONGPA TAMO Silas is a Cameroonian researcher and Ph.D. student in Physics at Dschang State University, specializing in medical physics with a strong focus on automation and applied computer science. His academic background spans both physics and electrical engineering, with degrees from the University of Dschang and the University of Bamenda, where he developed expertise in embedded systems, analog artificial neural networks, and electronics. Silas has extensive experience in microcontroller programming, analog and digital circuit simulation, and tools such as MATLAB, Arduino, Proteus, and Cadence Virtuoso. In addition to his research, he has served as an electronics teacher at various technical colleges and as a junior lecturer in computer science. His hands-on experience includes internships in electronics maintenance and electrical network installation. A bilingual communicator in English and French, Silas is known for his leadership, creativity, and commitment to advancing applied technologies in medical physics.

Professional Profile:

🏅 Summary of Suitability Pioneer Researcher Award

KOAGNE LONGPA TAMO Silas is an emerging research talent in the field of medical physics and electronics, demonstrating a rare combination of early innovation, technical depth, and applied problem-solving across interdisciplinary domains. As a Ph.D. candidate with an M.Sc. specialization in analog artificial neural networks for medical applications, Silas is pioneering research at the intersection of electronics, embedded systems, and health technologies, aligning closely with the spirit of the Pioneer Researcher Award.

🎓 Education Background

Ph.D. in Physics (Medical Physics) – Dschang State University, Cameroon (📅 Dec 2022 – Present)
- 🧠 Research Focus: Analog Artificial Neural Networks
- 👨‍🏫 Supervisor: Prof. Geh Wilson Ejuh
M.Sc. in Physics, Electronics Speciality – Dschang State University, Cameroon (📅 July 2022)
- 📘 Thesis: Specification and implementation of multilayer perceptron analog artificial neural networks
- 👨‍🏫 Supervisor: Dr. Djimeli Tsajio Alain B.
B.Sc. in Physics – Dschang State University, Cameroon (📅 Aug 2021)
DIPET 2 in Electronics – University of Bamenda (📅 July 2020)
- 🛰 Dissertation: Design and implementation of a digital breath alcohol detection system with SMS alert and vehicle tracking
DIPET 1 in Electronics – University of Bamenda (📅 Aug 2018)
- 🚪 Project: RFID-based electronic attendance system with automatic door unit
GCE A/L – Government Bilingual High School, Mbouda (📅 July 2015)
GCE O/L – Government Bilingual High School, Mbouda (📅 June 2013)
FSLC – Ecole Primaire Bilingue de la Promotion, Mbouda (📅 June 2008)

💼 Work Experience

Electronics Teacher – Government Technical College Ngombo-ku, Cameroon (📅 Jan 2021 – Present)
Junior Lecturer in Computer Science – Higher Technical Teacher Training College Bambili (📅 2019–2020)
Electronics Teacher – Government Technical High School Bambui (📅 2017–2018)
Internship – Electronics & Maintenance
- 📍 HYTECHS, Yaoundé (📅 2019)
- 🔧 Worked on printer maintenance & installation
Internship – Electrical Network Installation
- 📍 MEECH CAM Sarl, Yaoundé (📅 2016)
- ⚡ Focus on underground cable installation and high voltage network

🏆 Achievements & Awards

✅ Successfully designed and implemented:
- 🤖 An analog artificial neural network (M.Sc. Thesis)
- 🚘 A breath alcohol detection system with GPS and SMS alerts
- 🛂 An RFID-based attendance system with automated doors
📚 Published and presented academic work in medical physics and embedded systems
👨‍🏫 Contributed to higher education through teaching and mentoring roles across several institutions
🎓 Admitted to Ph.D. program based on excellent academic performance
💻 Advanced skills in MATLAB, Arduino, MikroC, Cadence Virtuoso, PSPICE & Proteus
🗣️ Bilingual in English and French – great asset for teaching and collaboration

Publication Top Notes:

Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks

Assist. Prof. Dr. Nastooh Taheri Javan | Federated Learning | Best Researcher Award

Posted on 15/04/2025 by ScienceFather

Assist. Prof. Dr. Nastooh Taheri Javan | Federated Learning | Best Researcher Award

Assist. Prof. Dr. Nastooh Taheri Javan, IKIU, Iran

Dr. Nastooh Taheri Javan is an Assistant Professor in the Computer Engineering Department at Imam Khomeini International University (IKIU), Qazvin, Iran. He holds a Ph.D. and M.Sc. in Computer Networks and Architecture from Amirkabir University of Technology (Tehran Polytechnic), where he also completed a postdoctoral fellowship. His research focuses on wireless networks, network coding theory, IoT, mobile ad-hoc networks, network security, game theory, and machine learning. Dr. Taheri Javan is a Senior Member of IEEE (SMIEEE) and has over a decade of experience in academia and industry. He is the co-founder and CEO of BARBOD, a knowledge-based company specializing in hardware design and electronic product development, and formerly led SAMANE_FANAVARAN, a software solutions firm. His academic career includes teaching roles at multiple Iranian universities, and he actively serves as a reviewer and committee member in international journals and conferences. Dr. Taheri Javan is recognized for his interdisciplinary collaborations and leadership in IT R&D.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Nastooh Taheri Javan, Ph.D., is an accomplished researcher and academic leader with a robust track record in wireless networks, IoT, network coding theory, and applied machine learning. Currently serving as an Assistant Professor in the Computer Engineering Department at Imam Khomeini International University (IKIU), Iran, Dr. Taheri Javan exemplifies the qualities of a distinguished researcher through his academic, industrial, and entrepreneurial contributions.

🎓 Education

📚 Postdoctoral Fellow in Computer Networks Engineering
Amirkabir University of Technology, Tehran, Iran (2018 – 2020)
🎓 Ph.D. in Computer Networks Engineering
Amirkabir University of Technology, Tehran, Iran (2011 – 2017)
🧠 M.Sc. in Computer Architecture Engineering
Amirkabir University of Technology, Tehran, Iran (2004 – 2007)
💻 B.Sc. in Computer Software Engineering
Iran Azad University, Mahshahr, Iran (1999 – 2003)

💼 Work Experience

👨‍🏫 Assistant Professor
Imam Khomeini International University, Qazvin, Iran (2020 – Present)
🧑‍🏫 Faculty Member
Iran Azad University, Tehran, Iran (2009 – 2011)
📚 Lecturer
University of Applied Science and Technology, Tehran, Iran (2004 – Present)
👨‍🏫 Lecturer
Iran Azad University, Tehran, Iran (2008 – Present)
👨‍🏫 Lecturer
Amirkabir University of Technology, Tehran, Iran (2013 – Present)
🧑‍💼 CEO & Co-Founder – BARBOD
A knowledge-based hardware & electronics company (Present)
🧑‍💼 Former CEO – SAMANE_FANAVARAN
Focused on software solutions

🏆 Achievements & Honors

🌐 Over 10 years of experience in R&D leadership and technical problem-solving in the IT industry
🤝 Active collaborator across various computer science disciplines
📡 Strong contributions to wireless networks, network coding, and IoT technologies
🧠 Founder of multiple tech companies, with expertise in both hardware and software innovation
✍️ Manuscript Reviewer for:
- Soft Computing Journal
- Tabriz Journal of Electrical Engineering
🧾 Scientific & Program Committee Member for:
- 7th Intl. Conference on Internet of Things (2023)
- 6th Intl. Conference on Smart Cities & IoT (2022)
- 5th Intl. Conference on Web Research (2019)

🥇 Awards & Honors

🎖️ Senior Member of IEEE (Since 2020)
Recognized for outstanding contributions to the field of Computer Networks

Publication Top Notes:

An energy-efficient decentralized federated learning framework for mobile-IoT networks

Enhancing Malicious Code Detection With Boosted N-Gram Analysis and Efficient Feature Selection

To Code or Not to Code: When and How to Use Network Coding in Energy Harvesting Wireless Multi-Hop Networks

Consensus tracking for a class of fractional-order non-linear multi-agent systems via an adaptive dynamic surface controller

Q-learning-based algorithms for dynamic transmission control in IoT equipment

ENCODE an Efficient Framework for using Network Coding in Multi-hop Wireless Networks

Adaptive Channel Hopping for IEEE 802.15.4 TSCH-Based Networks: A Dynamic Bernoulli Bandit Approach

Assist. Prof. Dr. Omid Mahdi Ebadati E | Autonomous Car | Best Researcher Award

Posted on 12/04/2025 by ScienceFather

Assist. Prof. Dr. Omid Mahdi Ebadati E | Autonomous Car | Best Researcher Award

Assist. Prof. Dr. Omid Mahdi Ebadati E, Kharazmi University, Iran

Dr. Omid Mahdi Ebadati E. is an Associate Professor of Computer Science in the Department of Operation Management and Information Technology at Kharazmi University, Iran. He serves as an Auditing Board Member at the university and sits on editorial boards including JIST and Anti-Poverty. A Senior Member of IEEE, he holds multiple professional certifications from Microsoft and Cisco. Dr. Ebadati earned his Ph.D. and Master’s degrees in Computer Science from Jamia Hamdard University, India, and a Bachelor’s degree from VMU, India. His academic interests span artificial intelligence, network security, data mining, and cybersecurity. Recognized with numerous national and international awards, he is actively involved in scientific cooperation and innovation.

Professional Profile: