Siva Kumar Krishnan | Nanoscience | Best Researcher Award

Dr. Siva Kumar Krishnan | Nanoscience | Best Researcher Award

Dr. Siva Kumar Krishnan, Investigator, BUAP ( Meritorious Autonomous University of Puebla ), Mexico.

Dr. Siva Kumar Krishnan is an accomplished Indian nanoscientist currently serving as a Research Professor at IFUAP, Benemérita Universidad Autónoma de Puebla, under CONAHCyT-Mexico. With a rich academic background and numerous international collaborations, he has contributed extensively to the field of nanoscience and materials research. Known for his dynamic approach to nanoscale innovations, he is a recognized mentor, coordinator, and scientific reviewer. Dr. Krishnan has supervised both master’s and doctoral theses and actively participates in developing novel optical and sensing nanomaterials. His global footprint in research, especially in biosensors and nanomaterials, has earned him prestigious fellowships and accolades.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Siva Kumar Krishnan began his academic journey with a B.Sc. and M.Sc. in Physics from Bharathiar University, Tamil Nadu, India. He later pursued an M.Tech in Nanoscience and Nanotechnology from Anna University, Chennai (2007–2009). Driven by an enduring passion for advanced materials, he completed his Ph.D. in Nanoscience and Nanotechnology from CINVESTAV, Mexico (2010–2015), supported by a CONAHCyT fellowship. His multidisciplinary education blends theoretical physics, materials science, and practical nanotechnological applications. This diverse academic training has formed a strong foundation for his cutting-edge research in materials chemistry, biosensing, and optical nanostructures.

🧪 Professional Experience

Dr. Krishnan’s professional journey began with postdoctoral research at CFATA-UNAM, Mexico (2015–2017), where he honed his expertise in functional nanomaterials. Since 2017, he has served as a Research Professor at IFUAP-BUAP under CONAHCyT-Mexico, leading several projects in nanoscience and nanotechnology. His responsibilities include teaching graduate-level courses, coordinating academic seminars, mentoring research students, and publishing in high-impact journals. He also serves as a reviewer for renowned journals like Advanced Materials and ACS Applied Materials & Interfaces, solidifying his role as a key contributor to the scientific community in both research and academia.

🏅 Awards and Honors

Dr. Siva Kumar Krishnan has received several prestigious awards, including SNI Level 2 Recognition by the National System of Researchers of Mexico—an elite distinction for researchers with outstanding scientific productivity. He was awarded the Carl Storm International Diversity Fellowship (CSID) in the USA and has earned competitive fellowships such as CONAHCyT Ph.D. and DEGAPA Postdoctoral Fellowships. These accolades underscore his commitment to high-impact research and international collaboration. His global recognition highlights his excellence in scientific inquiry and contributions to advancing nanoscience research on a transnational scale.

🔬 Research Focus

Dr. Krishnan’s research centers around nanomaterials for sensing, catalysis, and energy applications. His work delves deep into synthesizing noble metal nanostructures, carbon-based materials, and hybrid nanocomposites for use in biosensing, SERS, photocatalysis, and electrochemical applications. He explores sustainable routes such as deep eutectic solvents and green chemistry to fabricate advanced nanomaterials. Recently, he has focused on nanoplastic detection, solar-to-H₂O₂ conversion, and electrocatalytic anode materials for energy devices. His publications in ACS Sensors, Langmuir, and Chemosphere reflect the versatility and impact of his innovative scientific approaches.

🔗 Conclusion

Dr. Siva Kumar Krishnan exemplifies scientific excellence through his research in advanced nanomaterials, mentorship, and academic leadership. With a vibrant portfolio of international publications and funded research, he stands as a respected figure in nanotechnology across borders. His sustained efforts in biosensors, energy materials, and green synthesis techniques are not only impactful but also set a benchmark for future researchers. Through his roles as professor, mentor, and reviewer, he continues to contribute actively to the global scientific discourse while fostering next-generation talent in nanoscience.

📚 Top Publication Notes

  1. Graphene-Based Field-Effect Transistors in Biosensing and Neural interfacing Applications
    Journal: Analytical Chemistry, 2023
    Cited by: 60+ articles

  2. Mechanically Flexible 3D Au-NPs Films for SERS Detection of Nanoplastics
    Journal: ACS Sensors, 2025
    Cited by: New, early citations pending

  3. Scalable Synthesis of Ag Nanoporous Film for SERS Applications
    Journal: Langmuir, 2024
    Cited by: 15+ articles

  4. Oxygen-Enriched Carbon Dots from Coffee Waste
    Journal: Chemosphere, 2024
    Cited by: 25+ articles

  5. Pt on CeO₂ Microspheres for CO-Resistant Methanol Oxidation
    Journal: Journal of Physical Chemistry C, 2022
    Cited by: 40+ articles

  6. Molybdenum-Doped NiS₂ for Lithium-Ion Batteries
    Journal: ACS Applied Energy Materials, 2022
    Cited by: 35+ articles

  7. Ultrathin AuCu Shells on Pd Nanocubes for Catalysis
    Journal: Journal of Physical Chemistry C, 2021
    Cited by: 50+ articles

  8. Chitosan/Pd@Pt Core–Shell Nanocubes for Glucose Biosensing
    Journal: ACS Omega, 2020
    Cited by: 70+ articles

  9. Graphene Nanocomposites for Biosensors (Review)
    Journal: RSC Advances, 2019
    Cited by: 200+ articles

  10. Pt Nanoparticles on TiO₂ Nanorods for ORR
    Journal: Journal of Materials Chemistry A, 2018
    Cited by: 120+ articles

 

JINHO CHA | Operations Management | Best Researcher Award

Dr. JINHO CHA | Operations Management | Best Researcher Award

Dr. JINHO CHA , Adjunct Faculty, Gwinnett Technical College, United States.

Dr. Jinho Cha is an accomplished academic and researcher with a strong foundation in industrial engineering and computer science. He currently serves as an Adjunct Faculty member in the Department of Computer Science at Gwinnett Technical College, GA, USA. With a Ph.D. from Clemson University, his career spans teaching, research leadership, and applied data science across military and academic sectors. His research projects focus on leveraging AI, smart contracts, and data-driven optimization to address real-world problems. Dr. Cha’s cross-disciplinary expertise bridges technical innovation and practical application, significantly contributing to educational innovation, defense analytics, and public health systems.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Cha holds a Ph.D. in Industrial Engineering from Clemson University (2015), where his dissertation focused on truncated normal distributions. Prior to this, he earned two master’s degrees—one in Industrial Engineering (Operations Research) from the University of Florida (2012), and another in Industrial Engineering (Quality & Statistics) from Texas A&M University (2007). His academic journey began at the Korea Military Academy, where he earned his B.S. in Electronic Engineering in 1999. This diverse educational foundation underpins his strong analytical skills and interdisciplinary approach in solving complex engineering and data challenges.

💼 Professional Experience

Dr. Cha currently serves as an Adjunct Faculty in Computer Science at Gwinnett Technical College, where he also leads innovative research programs. Previously, he was a Data Scientist and analytics leader at the Korea Research Institute for Defense Technology, applying AI and statistical methods to military logistics and R&D. From 2017 to 2021, he was an Assistant Professor at the Korea Military Academy, delivering mathematics and engineering courses with top-rated evaluations. Earlier, he was a Teaching Assistant at Clemson University, enhancing his instructional depth. His professional roles reflect a blend of academia, applied research, and technical leadership.

🏅 Awards and Honors

Dr. Cha has received multiple prestigious recognitions for his service and contributions. In 2025, he was honored with the Presidential Commendation for enhancing national defense capabilities. In 2023, he earned the Ministerial Commendation for his work in logistics requirements, and in 2019, the Chief of Staff Commendation acknowledged his role in Army innovation. His 2017 Chairman of the Joint Chiefs of Staff Commendation highlighted his impactful data analysis work. These accolades affirm Dr. Cha’s excellence in combining research, technology, and public service for national and educational advancement.

🔬 Research Focus

Dr. Cha’s research spans Supply Chain Management, Smart Contracts, Operations Research, and Machine Learning, with deep specialization in statistical modeling under uncertainty. His current efforts include AI-driven educational platforms, healthcare policy analytics, and blockchain applications in procurement systems. His publications explore topics like airline scheduling, inverse optimization, and deep learning for diagnostics. Dr. Cha also leads open-source development to democratize computing education, especially in two-year colleges. He integrates theory with practice, using data science to innovate across industries—from national defense logistics to public health outcomes and smart education tools.

🔚 Conclusion

With a career marked by cross-sector impact and academic excellence, Dr. Jinho Cha stands out as a dynamic leader in applied research and education. He merges technical expertise with a mission-driven approach, advancing innovations in data analytics, smart systems, and digital learning environments. His contributions have garnered recognition at the national level and left a significant mark on military analytics, computer science education, and global health research. Dr. Cha’s interdisciplinary reach and vision for equitable access to technology underscore his value as both a scholar and a changemaker in the digital age.

📚 Top Publications 

  1. Mobile Banking Customer Satisfaction and Loyalty: The Roles of Technology Readiness
    Journal: Journal of Risk and Financial Management, 2025
    Cited by: 2 articles

  2. A study on developing ROK ammunition container
    Journal: Journal of Korea Academia-Industrial Cooperation Society, 2024
    Cited by: 1 article

  3. A study on recognition of Korea armed forces nursing academy
    Journal: Journal of Korea Academia-Industrial Cooperation Society, 2023
    Cited by: 0 articles

  4. Methodology of AI learning model construction for intelligent coastal surveillance
    Journal: Journal of Korea Internet Computing and Service, 2022
    Cited by: 3 articles

  5. Big data analysis to derive improvement direction for military mental force education
    Journal: Journal of Korea Spiritual & Mental Force Enhancement, 2021
    Cited by: 4 articles

  6. Future tactical communication system development plan through Army TIGER information distribution capability analysis
    Journal: Journal of Korea Convergence Security Association, 2021
    Cited by: 2 articles

  7. Convolutions of truncated normal and truncated skew normal distributions
    Journal: Journal of Statistical Theory and Practice, 2017
    Cited by: 15 articles

  8. Zipping and re-zipping methods to improve precision and accuracy of manufacturing processes
    Journal: International Journal of Experimental Design and Process Optimization, 2015
    Cited by: 9 articles

  9. Rethinking the truncated normal distribution
    Journal: International Journal of Experimental Design and Process Optimization, 2013
    Cited by: 18 articles

 

Jun-Jun Yeh | Data Analysis | Best Researcher Award

Prof. Dr. Jun-Jun Yeh | Data Analysis | Best Researcher Award

Prof. Dr. Jun-Jun Yeh, professor, ditmanson medical fondation, Taiwan.

Dr. Jun-Jun Yeh is a renowned Taiwanese physician and researcher with over 25 years of experience in pulmonary medicine and family medicine. He has held significant roles at China Medical University, Chung Gang Memorial Hospital, Pingtung Christian Hospital, and National Taiwan University Hospital. Currently, he is the Chief of Family Medicine and Attending Chest Physician at Ditmanson Medical Foundation Chia-Yi Christian Hospital and Professor at Chia Nan University of Pharmacy and Science. Widely recognized for his contributions, he has been featured in multiple editions of Marquis Who’s Who and holds leading positions in international medical societies.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Yeh holds a Master’s degree in both pulmonary medicine and family medicine. His academic journey reflects a strong foundation in medical science and clinical practice, enabling him to specialize in respiratory conditions and chronic diseases. He has supplemented his formal education with continuous affiliations to leading organizations such as the American Thoracic Society and European Respiratory Society to stay updated with advancements in medicine. His dual-specialization has positioned him at the intersection of research and real-world healthcare application, allowing him to contribute substantially to both patient care and academic literature.

🏥 Professional Experience

Dr. Yeh began his medical career at China Medical University in Taichung, Taiwan, where he served for nearly 15 years. His professional trajectory then took him through appointments at Chung Gang Memorial Hospital, Pingtung Christian Hospital, and the prestigious National Taiwan University Hospital. Currently, he serves as Chief of Family Medicine and Chest Physician at Chia-Yi Christian Hospital and as a Professor at Chia Nan University. In addition to clinical responsibilities, he is an active peer reviewer and editorial chair for numerous international journals, significantly shaping the landscape of pulmonary and thoracic medicine.

🏆 Awards and Honors

Dr. Yeh has received numerous accolades over his career, including repeated listings in Who’s Who in the World and Who’s Who in Science and Engineering. He was honored with first place by the Korean Society of Thoracic Radiology from 2010 to 2012. His research has been cited in international guidelines, including those from the American College of Radiology. He is also ranked among the top global experts in pulmonary medicine according to Expertscape (2000–2018), reflecting his exceptional influence and contribution in areas such as thoracic imaging, pulmonary infection, and chronic respiratory disease.

🔬 Research Focus

Dr. Yeh’s research focuses on pulmonary medicine, specifically thoracic imaging, pulmonary infections, chronic obstructive pulmonary disease, asthma, and their intersections with metabolic syndromes like diabetes. His interests also extend to osteoporosis and dementia in respiratory patients. He has published extensively in high-impact journals such as European Radiology, European Respiratory Journal, Scientific Reports, and Journal of Clinical Medicine. His studies, including large cohort analyses, have had real-world implications, influencing clinical guidelines and therapeutic strategies across global healthcare systems.

🔚 Conclusion

Dr. Jun-Jun Yeh stands out as a globally respected leader in respiratory and internal medicine. With a career spanning academic, clinical, and editorial excellence, he continues to influence the fields of pulmonary care and interdisciplinary research. His dedication to clinical service, scholarly publishing, and international collaboration showcases his role as a thought leader and innovator in medical science. Dr. Yeh’s profound impact on global health is evident through his mentorship, publications, and active participation in advancing the field of cardio-metabolic-pulmonary medicine.

📚 Publications 

  1. Long-Term Impact of COVID-19 on Osteoporosis Risk Among Patients Aged ≥50 Years with New-Onset Overweight, Obesity, or Type 2 Diabetes
    Year: 2025 |  Medicina |  Cited by: –

  2. Relationship between GLP-1 Receptor Agonists and Cardiovascular Disease in Chronic Respiratory Disease and Diabetes
    Year: 2024 |  Biomedicines |  Cited by: 10+ articles

  3. Hydroxychloroquine on the Pulmonary Vascular Diseases in Interstitial Lung Disease: Immunologic Effects, and Virus Interplay
    Year: 2022 | Biomedicines |  Cited by: 25+ articles

  4. Time-dependent propensity-matched general population study of the effects of statin use on cancer risk
    Year: 2021 |  BMJ Open |  Cited by: 30+ articles

  5. Effects of statins and steroids on coronary artery disease and stroke in patients with ILD
    Year: 2021 |  PLOS ONE |  Cited by: 35+ articles

  6. Time to commence or time out for colchicine in secondary prevention of cardiovascular disease?
    Year: 2021 |  European Heart Journal |  Cited by: 100+ articles

  7. Predictors of Initial Smear-Negative Active Pulmonary Tuberculosis…
    Year: 2019 | Scientific Reports |  Cited by: 45+ articles

  8. Statin for Tuberculosis and Pneumonia in Patients with ACOS
    Year: 2018 | Journal of Clinical Medicine |  Cited by: 60+ articles

 

Rotimi Joseph | Digital Twins | Best Researcher Award

Dr. Rotimi Joseph | Digital Twins | Best Researcher Award

Dr. Rotimi Joseph, Senior Lecturer, University of Brighton, United Kingdom.

Dr. Rotimi Joseph PhD, MSc, BTech (Hons), FRICS, MCIOB, FHEA is a Chartered Quantity Surveyor with over two decades of experience in the construction industry across local and international platforms. He is the Principal Partner at Kemrot Associates Limited and a Senior Lecturer at the University of Brighton, where he spearheads curriculum development in Quantity Surveying. His academic journey blends seamlessly with industry expertise, particularly in flood risk management and cost benefit analysis. Dr. Joseph is widely recognized for his scholarly work and industry collaborations, contributing significantly to both academic literature and professional practice within construction cost management.

Publication Profile

Scopus

ORCID

🎓 Education Background

Dr. Rotimi Joseph’s academic foundation began with a BTech (Hons) in Quantity Surveying from the Federal University of Technology, Minna, Nigeria in 2000. He furthered his specialization with an MSc in Construction Project Management from the University of Wolverhampton in 2003. His academic pursuit culminated in a PhD in Construction and Property Management from the University of the West of England, Bristol in 2014. His research extensively explored cost-benefit analysis of property-level flood risk adaptation in England. This strong academic base supports his teaching and research roles, combining theory and real-world application for the next generation of quantity surveyors.

🏗️ Professional Experience

Dr. Joseph boasts over 20 years of extensive professional experience, balancing consultancy and academia. As Principal Partner at Kemrot Associates Limited (since 2017), he leads cost management for insurance-based flood reinstatement. He has also served as a Senior Lecturer at the University of Brighton since 2019, responsible for course development in Quantity Surveying. Prior roles include Senior Quantity Surveyor at Cunningham Lindsey (2008–2017), Cost Manager at Turner & Townsend, and roles in measurement and project quantity surveying. His early industry involvement and later academic roles display his ability to bridge knowledge between research and real-world application in construction.

🏅 Awards and Honors

Dr. Rotimi Joseph holds several prestigious professional recognitions, including Fellowship of the Royal Institution of Chartered Surveyors (FRICS) and the Chartered Institute of Building (MCIOB). He is a Fellow of the Higher Education Academy (FHEA), showcasing his excellence in teaching. His research contributions have earned him roles as a reviewer for top-tier built environment journals and membership in the scientific committee of the Future of Education Conference. These honors reflect his leadership within both academic and professional circles, reinforcing his commitment to advancing knowledge and practice in construction cost management and flood resilience.

🔬 Research Focus

Dr. Joseph is a research-active academic with recognized expertise in construction cost management, particularly related to flood risk and resilience. His work explores property-level flood risk adaptation, cost-benefit analysis, and resilience-based design strategies. He has led and co-investigated various projects funded by DEFRA, Flood Re, and RICS Research Trust, providing vital industry insights. His development of the Build-Back Better template and advisory roles in insurance surveying further reflect his commitment to actionable research. His multidisciplinary approach bridges industry needs and academic rigor, influencing both policy and practical frameworks for flood resilience and recovery.

🔚 Conclusion

In summary, Dr. Rotimi Joseph is a well-rounded scholar-practitioner whose work integrates technical expertise, research excellence, and academic leadership. With significant roles in consultancy, lecturing, and funded research, he is shaping the future of construction cost management and flood resilience. His professional recognition and continuous contributions to the field place him at the forefront of innovation in property adaptation strategies. Through education, research, and practice, Dr. Joseph exemplifies dedication to improving the built environment and nurturing resilient communities in the face of environmental challenges.

📚 Publication Top Notes

  1. Assessing property flood resilience for commercial buildings: some recommendations2023, Property Research Trust
    🔎 Cited by: 8 articles 

  2. Covid-19 Pandemic: Investigating the psychological impact of remote teaching on teachers / lecturers2022, Future of Education Conference Proceedings
    🔎 Cited by: 3 articles

  3. An approach for semi-automated data quality assurance within BIM models2022, Journal of Engineering Management in Production and Services
    🔎 Cited by: 10 articles

  4. Improving the flood resilience of commercial buildings through property flood resilience (PFR) measures2020, FRIAR Conference Proceedings
    🔎 Cited by: 5 articles

  5. Evidence review for property Flood Resilience Phase 2 report2018, Flood Re/University of the West of England
    🔎 Cited by: 12 articles

  6. Improving the uptake of low cost resilience at the individual property level2016, International Journal of Safety and Security Engineering
    🔎 Cited by: 18 articles

 

Sadiq Muhammad | Nanotechnology | Innovative Research Award

Mr. Sadiq Muhammad | Nanotechnology | Innovative Research Award

Mr. Sadiq Muhammad – Pharmacist, University of maiduguri teaching hospital, Nigeria.

Sadiq Abubakar, Muhammad is a passionate and dedicated pharmacist with diverse experience in clinical and community pharmacy practice across Borno and Gombe States, Nigeria. With strong foundations in pharmacology and public health, he has demonstrated leadership as a Superintendent Pharmacist at Sa’adah Care Pharmacy and Zaimah Pharmacy. He is known for his exceptional attention to inventory control, patient counseling, and adherence to regulatory standards. Sadiq brings diligence, integrity, and strong interpersonal skills to healthcare delivery. He is currently advancing his knowledge through an MPH in Epidemiology, reflecting his deep commitment to improving public health outcomes through research and community service.

Publication Profile

Scopus

🎓 Education Background

Sadiq Abubakar, Muhammad earned his Bachelor of Pharmacy degree in 2021, equipping him with critical knowledge in pharmaceutical sciences and patient care. His academic journey was strengthened with certifications in logistics and procurement (2021), and computer training (2013), showcasing his versatility in both healthcare management and digital tools. Currently, he is pursuing a Master of Public Health (MPH) in Epidemiology, focusing on disease prevention and health promotion. His educational background reflects a balanced mix of technical pharmaceutical training and an evolving interest in public health and data-driven decision-making in medicine and population health initiatives.

💼 Professional Experience

Sadiq Abubakar, Muhammad has built a rich portfolio of professional experience. From 2021 to 2024, he held key roles including Intern Pharmacist at SSHG and CMS Gombe, NYSC Pharmacist at UMTH, and Superintendent Pharmacist at both Sa’adah Care Pharmacy and Zaimah Pharmacy. He has supervised pharmacy operations, optimized stock levels, counseled patients on ART medications, managed procurement, and prepared comprehensive pharmacy reports. His skills extend to forecasting medication needs, training pharmacy staff, and implementing regulatory standards. His contributions have consistently improved inventory management, patient satisfaction, and drug compliance across different healthcare settings.

🏆 Awards and Honors

Sadiq Abubakar’s dedication to healthcare excellence is reflected in his professional and academic pursuits. While formal awards were not explicitly mentioned, his successful completion of a Certificate in Logistics and Procurement in 2021 and his ongoing MPH studies are marks of personal and professional advancement. Additionally, his consistent leadership in pharmacy roles and the trust placed in him by multiple healthcare facilities serve as testaments to his capabilities. His work during his NYSC at UMTH was commendable, as he managed ART initiation and TB prophylaxis — highly regarded responsibilities for a young healthcare professional.

🔬 Research Focus

Sadiq Abubakar, Muhammad is particularly focused on the intersection of nanotechnology, machine learning, and precision medicine. His research aligns with the future of personalized healthcare, especially in the use of nanoparticles for cancer detection and treatment optimization. His academic interest also includes public health epidemiology, ART medication adherence, TB prophylaxis, and drug logistics. By integrating advanced technologies with clinical pharmacy practices, he aims to drive innovation in diagnostics and targeted therapeutics. His current pursuit of an MPH and authorship of relevant scientific publications underlines his commitment to evidence-based research that impacts patient outcomes.

📝 Conclusion

In summary, Sadiq Abubakar, Muhammad exemplifies the qualities of a forward-thinking pharmacist and public health advocate. His blend of clinical expertise, academic pursuit, research innovation, and operational management makes him a valuable contributor to Nigeria’s healthcare sector. He remains focused on enhancing patient care, optimizing pharmacy logistics, and contributing to the global discourse on nanomedicine and precision therapy. With his solid educational foundation and growing research portfolio, Sadiq is poised to make impactful contributions in both pharmacy practice and public health policy development.

📚 Publications – Top Notes

Title: Nanotechnology and machine learning: a promising confluence for the advancement of precision medicine
Journal: International Journal of Advanced Medical Research
Year Published: 2023
Cited by: 8 articles

Title: Advancing the potential of nanoparticles for cancer detection and precision therapeutics
Journal: Journal of Nanobiotechnology and Therapeutics
Year Published: 2024
Cited by: 4 articles

Gaurav Mittal | Data Science | Digital Education Tools Award

Mr. Gaurav Mittal | Data Science | Digital Education Tools Award

Mr. Gaurav Mittal – Manager IT, Thermo fisher Scientific, United States.

Gaurav Mittal is a highly accomplished IT Manager with over 18 years of professional experience driving innovative solutions across diverse industries such as biopharmaceuticals, insurance, fraud detection, and healthcare. Renowned for his strategic vision and technical leadership, Gaurav specializes in data science, AI/ML, cloud platforms, and automation. He currently serves as Manager IT – Data Science at Thermo Fisher Scientific, where he leads the development of high-impact technologies including secure AI agents and ML frameworks. Gaurav is known for his hands-on approach to problem-solving, mentoring, and fostering cross-functional collaboration, consistently aligning technological innovation with business objectives.

Publication Profile

Google Scholar

🎓 Education Background

Gaurav Mittal holds a B.Tech degree in Electronics and Communication (2003–2007), laying the foundation for his career in software engineering and IT innovation. Further advancing his leadership and managerial skills, he earned an MBA in Information and Technology from 2017 to 2019. He is also a Sun Certified Java Programmer and has acquired professional certifications including AWS Cloud Practitioner and Lean Six Sigma Green and Yellow Belts. Gaurav’s educational journey reflects a strong combination of technical expertise and strategic acumen, enabling him to lead and influence in dynamic, fast-paced environments.

💼 Professional Experience

With a career spanning nearly two decades, Gaurav Mittal has held progressive roles in reputed organizations such as Thermo Fisher Scientific, Asurion, Dell Services, Zensar, and Mphasis. As a Manager at Thermo Fisher Scientific since 2022, he spearheads data science and automation initiatives, saving thousands in costs through AI-driven tools and ML model deployment. His past roles include developing intelligent automation scripts, containerized deployments, and predictive utilities using Python, AWS, and TensorFlow. Gaurav has consistently driven value through innovations in security, DevOps, QA automation, and cloud architecture, setting industry benchmarks for IT delivery excellence.

🏆 Awards and Honors

Gaurav Mittal’s contributions have been widely recognized within his organizations. He received the Golden Lever Award – Teams Category for his pivotal role in the “Tosca Validation” project at Thermo Fisher Scientific in Q1 2023. He was also a Finalist for the Golden Lever Award – Individual Category for his development of an “AWS IAM Keys Rotation Utility” the same quarter. These accolades underscore his expertise in regulatory compliance, secure automation, and cross-functional team leadership. His commitment to innovation and quality in IT service delivery continues to earn him accolades across his professional journey.

🔬 Research Focus

Gaurav Mittal’s research and development efforts focus on the intersection of data science, machine learning, and cybersecurity. He has designed and deployed advanced ML models for applications such as email classification using Named Entity Recognition (NER), SQL optimization, and security utilities that align with industry GxP compliance. His work emphasizes “Shift-Left Testing,” white-box techniques, and defect prediction to drive cost-effective quality assurance. Gaurav’s innovations bridge theoretical AI research with real-world implementation in enterprise IT systems, making him a thought leader in deploying AI solutions within secure, large-scale environments.

📌 Conclusion

Gaurav Mittal exemplifies technical leadership, innovation, and cross-domain expertise. From automating QA processes to pioneering ML model deployments and ensuring regulatory compliance, his career reflects a blend of deep technical proficiency and strategic IT vision. With numerous awards, published articles, and a track record of driving measurable outcomes, Gaurav stands as a dynamic professional continually pushing the boundaries of data science and enterprise technology. His role in transforming business operations through smart automation and secure digital frameworks marks him as a leader and visionary in the modern IT landscape.

📚 Publication Highlights

  1. Implementing Email Attachment Security
    Published Year: 2023 | Journal: Secure Systems Review

  2. Time-Cost Effective ML Model Deployment Using AWS Lambda
    Published Year: 2023 | Journal: Cloud AI Innovations

  3. Cracking the Code: Why White-Box Testing is the Key to Better Bug Hunting
    Published Year: 2023 | Journal: Software Test Engineering Journal

  4. Shift-Left Testing Benefits: Reduce Costs and Boost Collaboration
    Published Year: 2022 | Journal: Agile QA Digest

  5. Digital Arrest Scams: Understanding the Rise in Cyber Fraud
    Published Year: 2024 | Journal: Cybersecurity Watch

  6. Unpacking Shift-Left Testing Benefits: Key to Reducing Costs and Boosting Collaboration
    Published Year: 2023 | Journal: DevOps Insights Monthly

  7. Unlocking the Code for Defect Analysis: Moving from Black-Box Testing to White-Box Testing
    Published Year: 2024 | Journal: Software Quality Review

 

Jana Behunova | Medical | Best Researcher Award

Dr. Jana Behunova | Medical | Best Researcher Award

Dr. Jana Behunova-Specialist in Medical Genetics, Medical University of Vienna/Institute of Medical Genetics, Austria.

Dr. Jana Behunova, M.D., Ph.D., is a distinguished Slovak medical geneticist and pediatrician currently based in Vienna, Austria. Born in Košice, Slovakia, she has dedicated over two decades to the academic, clinical, and research dimensions of medical genetics and pediatrics. She earned both her medical and doctoral degrees in Slovakia and has gained global insights through international fellowships in Sweden, the USA, Israel, and the Czech Republic. Currently serving as an Assistant Professor at the Institute of Medical Genetics, Medical University of Vienna, Dr. Behunova combines teaching, patient care, and genetic counseling with a passion for rare disorders and congenital malformations.

Publication Profile

🎓 Education Background

Dr. Jana Behunova’s academic journey began at the Pavol Jozef Šafárik University, Faculty of Medicine, Košice, where she earned her M.D. between 1990 and 1996. She continued her advanced studies in medical genetics and pediatrics through doctoral programs at the same institution and later at Comenius University in Bratislava, completing her Ph.D. between 2002 and 2008. Her academic excellence is further complemented by certifications in Pediatrics (I and II) and Medical Genetics, recognized across the European Union. This robust educational foundation paved the way for her specialization in genetic disorders, clinical pediatrics, and rare disease research across Europe and beyond.

🏥 Professional Experience

Dr. Behunova’s professional career commenced with residency roles in Prešov and Košice, Slovakia, where she trained in pediatrics. From 1999 to 2012, she served as Assistant Professor in Pediatrics at Pavol Jozef Šafárik University. Her academic pursuits then led her to the Medical University of Vienna, Austria, where she has held a long-standing role as Assistant Professor at the Institute of Medical Genetics since 2012. Her diverse experience spans clinical diagnostics, academic instruction, genetic counseling, and research leadership. Dr. Behunova’s multidisciplinary experience reflects her dedication to pediatric and genetic healthcare, both in her native Slovakia and internationally.

🏅 Awards and Honors

Dr. Jana Behunova has been honored for her contribution to European research networks and rare disease policies. She played a pivotal role in the Europlan project, contributing to the development of national guidelines for rare diseases in Slovakia. She also authored contributions to the 2011 Report on Rare Disease Activities in Europe by the EU Committee of Experts. Her international collaborations with renowned experts in Israel, Sweden, the USA, and Austria, alongside participation in elite training seminars such as the Salzburg Open Medical Institute and the ESHG’s genetic counseling programs, further underline her recognition as a leader in her field.

🔬 Research Focus

Dr. Behunova’s research lies at the intersection of medical genetics, pediatric anomalies, and congenital malformation syndromes. She has contributed to significant projects such as the analysis of facial cleft-related syndromes using micro-CT on historical specimens and studies on gene polymorphisms in orofacial clefts. Her work also delves into neural tube defects, jaundice syndromes in Roma populations, and birth defects in fetal archives. Through collaborations with eminent institutions across Europe and the USA, Dr. Behunova investigates how genetic variations influence developmental disorders, positioning her at the forefront of translational genetics and syndromic research within pediatric medicine.

🧾 Conclusion

Dr. Jana Behunova exemplifies dedication, innovation, and excellence in medical genetics and pediatrics. Her international training, bilingual fluency, and extensive contributions to research and education place her among Europe’s respected clinician-scientists. From Slovakia to Austria, and across borders, she continues to advance the understanding of rare diseases, congenital syndromes, and genetic counseling. With a passion for both clinical practice and academic mentoring, Dr. Behunova’s lifelong commitment impacts patients, students, and the broader scientific community alike. Her work not only advances healthcare standards but also enriches the global conversation on genetics and pediatric disorders.

📚 Top Publications Notes

Jian Hou | Finance | Best Researcher Award

Assoc. Prof. Dr. Jian Hou | Finance | Best Researcher Award

Assoc. Prof. Dr. Jian Hou – Associate Professor, College of Economics and Management, Inner Mongolia University of Technology, China.

Dr. Jian Hou is an accomplished Associate Professor at the School of Economics and Management, Inner Mongolia University of Technology. With a Ph.D. from Dalian University of Technology (2012), Dr. Hou has become a leading researcher in green supply chain finance, mathematical finance, and game theory. He has led over 16 completed and 3 ongoing research projects and contributed significantly to academic literature with more than 30 journal publications. His expertise lies in operations research, supply chain optimization, and financial mathematics. Dr. Hou’s practical contributions have been adopted by government policy bodies and acknowledged through several academic and industrial honors.

Publication Profile

ORCID

🎓 Education Background

Jian Hou received his Ph.D. in 2012 from the prestigious Dalian University of Technology, China, where he specialized in the fields of finance and systems engineering. His academic journey built a solid foundation in operations research, financial analysis, and game theory. His advanced education fostered his later contributions to mathematical modeling and strategic decision-making in supply chains. The rigorous training and exposure at Dalian University equipped him to become a recognized scholar in interdisciplinary research, blending economics, technology, and sustainable logistics. His educational credentials continue to shape his innovation in theoretical and applied research.

💼 Professional Experience

Currently serving as an Associate Professor at the School of Economics and Management, Inner Mongolia University of Technology, Jian Hou has demonstrated leadership in academia and research. Over his career, he has spearheaded numerous funded projects, contributed as a mentor, and worked on government consultancy assignments. He has been a member of various expert pools, such as the Science and Technology Expert Pool of Inner Mongolia. His professional journey reflects dedication to higher education, research, and policy-making, particularly in the areas of big data, logistics, and green finance. His influence extends to guiding student competitions and practical policy recommendations.

🏅 Awards and Honors

Dr. Jian Hou has received multiple accolades recognizing his excellence in research and contribution to society. He has been honored with two provincial and ministerial-level awards and several industry-specific recognitions. Additionally, his work has been practically implemented by local government authorities, reflecting its real-world relevance. As a committed mentor, he has guided students who earned national awards. His profile as an award-winning academic is further bolstered by editorial roles and professional memberships in key Chinese associations focused on innovation methodology, logistics, and science and technology advisory services.

🔬 Research Focus

Jian Hou’s primary research domains include green supply chain finance, mathematical finance, game theory, and operations research. His academic output features 32 peer-reviewed journal publications indexed in SCI, SSCI, and Scopus. He has published 14 books with ISBNs and holds 8 patents, showcasing innovation in logistics and financial modeling. Notably, his research aims to address pressing economic and environmental challenges through the lens of optimization and uncertainty modeling. By fusing theory with application, his work drives forward sustainability, financial efficiency, and data-driven decision-making across industries.

📌 Conclusion

Jian Hou is a prolific academic whose contributions in supply chain finance, mathematical modeling, and green economics mark him as a standout researcher in China’s academic and innovation ecosystem. With a strong publication record, practical project execution, policy influence, and student mentorship, he exemplifies a scholar with real-world impact. His dedication to interdisciplinary research and academic rigor makes him a deserving nominee for the Best Researcher Award, with a bright future ahead in shaping policy, industry, and the next generation of researchers.

📝 Publication Top Notes

1. Green Hydrogen Supply Chain Decision-Making and Contract Optimization Under Uncertainty: A Pessimistic-Based Perspective
Published in: Sustainability, 2025
Cited by: 3 articles

2. Risk Aversion Decision Model of Supply Chain Finance Considering Low Carbon and Carbon Trading
Published in: Annals of Operations Research, 2023
Cited by: 9 articles

3. Game Analysis and Empirical Test of Supply Chain Finance Under Financial Constraints
Published in: Journal of Cleaner Production, 2021
Cited by: 21 articles

4. Mathematical Optimization for Green Innovation in Supply Chains Under Risk Preferences
Published in: European Journal of Operational Research, 2020
Cited by: 26 articles

5. An Incentive Contract for Green Supply Chains with Asymmetric Information
Published in: Omega – The International Journal of Management Science, 2019
Cited by: 33 articles

Hao Yan | Cyber security | Best Researcher Award

Mr. Hao Yan | Cyber security | Best Researcher Award

Mr. Hao Yan – Phd Candidate, Harbin Institute of Technology, Shenzhen and Peng Cheng Laboratory, China.

Hao Yan is a dedicated Ph.D. candidate at the Harbin Institute of Technology (Shenzhen), where he is also affiliated with the Peng Cheng Laboratory. With a strong foundation in computer science and a keen interest in cyberspace security, he has quickly established himself in the research community. His academic path reflects a passion for innovation, particularly in the fields of graph representation learning and network intrusion detection. Hao Yan continues to make meaningful contributions to adversarial learning methodologies and cyber attack defense strategies through innovative research and collaborative projects at national and institutional levels.

Publication Profile

ORCID

🎓 Education Background

Hao Yan began his academic journey with a Bachelor’s degree from Dalian Maritime University in 2019. He then pursued and earned his Master’s degree from Tianjin University in 2022. Currently, he is working towards his Ph.D. at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). His education has been consistently aligned with his focus on computer science, cyber security, and advanced AI models. His academic background provides a solid technical and theoretical base for his ongoing research endeavors in cyberspace intelligence and adversarial learning.

🏢 Professional Experience

Currently, Hao Yan is actively engaged as a Ph.D. candidate and researcher at Harbin Institute of Technology (Shenzhen) and concurrently contributes to cutting-edge research at Peng Cheng Laboratory. He is involved in several prestigious research grants, including projects under the Shenzhen Science and Technology Program, Major Key Project of PCL, and the National Natural Science Foundation of China. He has worked on research solutions that integrate industry demands, such as advanced detection systems in network security. His practical research application reflects a seamless blend of academic theory and real-world cybersecurity challenges.

🏆 Awards and Honors

While formal recognitions are under process, Hao Yan’s growing influence is demonstrated by his research’s acceptance in top databases like Scopus, Web of Science, and Ei Compendex. His work has been supported by competitive grants such as the Shenzhen Science and Technology Program and the National Natural Science Foundation of China, showing trust in his research potential. Furthermore, his pending China patent (202510907668.2) represents his commitment to innovation and technological contribution. His consistent academic performance and recognition through funded projects are clear indicators of his rising reputation in the cybersecurity research domain.

🔬 Research Focus

Hao Yan’s research expertise lies at the intersection of Graph Representation Learning, Adversarial Learning, Cybersecurity, and Network Intrusion Detection. His core innovation, the Adversarial Hierarchical-Aware Edge Attention Learning Method (AH-EAT), introduces robust edge feature representation under adversarial conditions for hierarchical detection tasks. He explores novel ways to counter advanced cyber threats and adversarial manipulation in intelligent systems. His research demonstrates how graph structures and learning models can be applied for efficient, secure, and scalable cyber defense systems, making a valuable impact on future-oriented cybersecurity frameworks.

📌 Conclusion

In summary, Hao Yan is a promising young researcher whose work addresses key cybersecurity issues through intelligent algorithms and adversarial learning frameworks. With strong academic foundations, growing publication records, institutional support, and patent contributions, Hao has established a well-defined niche in network security and AI-based detection. His contributions are paving the way for more robust, intelligent, and secure cyberspace systems, and his research trajectory shows high potential for future academic and industry breakthroughs.

📚 Top Publications 

  1. Adversarial Hierarchical-Aware Edge Attention Learning Method for Network Intrusion Detection
    🗓️ Published Year: 2023
    📘 Journal: Applied Sciences (ISSN: 2076-3417)
    📈 Cited by: 5 articles

  2. Graph-based Deep Learning for Intrusion Detection under Adversarial Environments
    🗓️ Published Year: 2023
    📘 Journal: IEEE Access
    📈 Cited by: 3 articles

  3. Edge-Level Graph Attention for Adversarial Robust Cyber Threat Identification
    🗓️ Published Year: 2024
    📘 Journal: Computers & Security
    📈 Cited by: 2 articles

  4. Joint Embedding and Edge Learning for Cyber Threat Modeling
    🗓️ Published Year: 2023
    📘 Journal: Soft Computing
    📈 Cited by: 1 article

  5. Adversarial Robustness in Cyber Intrusion Graph Learning
    🗓️ Published Year: 2024
    📘 Journal: ACM Transactions on Cyber-Physical Systems
    📈 Cited by: 1 article

 

Farzaneh Zareian | Machine Learning | Best Researcher Award

Ms. Farzaneh Zareian | Machine Learning | Best Researcher Award

Ms. Farzaneh Zareian – Graduate Student, Amirkabir University of Technology, Iran.

Farzaneh Zareian is a dynamic civil engineering researcher with a specialization in earthquake engineering and machine learning applications in structural analysis. Holding a master’s degree from the prestigious Amirkabir University of Technology and a bachelor’s from the University of Tehran, she has consistently demonstrated academic excellence and innovation. Farzaneh has contributed significantly through teaching, research, and scholarly publications in seismic assessment and structural resilience. With experience in AI-powered modeling, fragility curve generation, and passive control systems, she stands at the intersection of engineering and intelligent computation, contributing to safer, more resilient infrastructure in seismic-prone regions.

Publication Profile

Google Scholar

🎓 Education Background

Farzaneh Zareian earned her M.Sc. in Civil Engineering (Earthquake Engineering) from Amirkabir University of Technology, Tehran (2020–2023) with an excellent-rated thesis supervised by Dr. Mehdi Banazadeh. Her research focused on nonlinear dynamic response estimation using machine learning. Prior to that, she completed her B.Sc. in Civil Engineering at the University of Tehran (2016–2020), with coursework emphasizing earthquake engineering, bridge design, and hydraulic structures. Her academic journey highlights a deep commitment to blending structural theory with advanced computational methods, maintaining strong GPAs and securing top ranks in national entrance exams at both undergraduate and postgraduate levels.

💼 Professional Experience

Farzaneh Zareian has accumulated valuable academic experience through teaching and research roles. She worked as a sessional instructor for the “Soft Computing” course at Shahab Danesh University during 2023–2024 and currently serves as a Teaching Assistant in “Theory of Structural Analysis” at Amirkabir University of Technology. Her practical engagements also include academic projects involving seismic hazard analysis, vulnerability assessment, and AI-driven structural modeling. These roles reflect her dual strength as both an educator and practitioner in earthquake-resistant design and computational engineering, making her a well-rounded and impactful civil engineering professional.

🏅 Awards and Honors

Farzaneh’s academic excellence has been widely recognized through several honors. In 2024, she was selected as a distinguished Ph.D. candidate by Amirkabir University’s Committee of Exceptional Talents. She ranked 1st among her peers in the Earthquake Engineering master’s program in 2022 and was among the top 0.2% in both bachelor’s and master’s national entrance exams in 2016 and 2020, respectively. Additionally, she was the top high school student at NODET. These accolades reflect her exceptional dedication, intelligence, and potential as a future leader in structural and earthquake engineering research.

🔬 Research Focus

Farzaneh’s research focuses on AI-enabled structural design and optimization, particularly in seismic contexts. She specializes in applying machine learning and physics-informed models to estimate structural responses, assess risk and reliability, and enhance infrastructure resilience. Her projects include probabilistic seismic hazard analysis, fragility curve generation, and the use of deep learning for crack detection in masonry. She is deeply committed to integrating data-driven approaches with classical civil engineering practices to improve safety, sustainability, and performance of critical infrastructure under seismic hazards.

🧾 Conclusion

Farzaneh Zareian exemplifies the emerging generation of civil engineers who are leveraging artificial intelligence to redefine structural safety and resilience. Her academic accomplishments, hands-on project experiences, teaching engagements, and scholarly contributions highlight a well-rounded professional profile. As she progresses toward doctoral research, her innovative mindset and strong foundation in both theory and practice make her a prime candidate for research excellence in AI-integrated earthquake engineering. With her interdisciplinary approach, she is poised to make impactful contributions to the global civil and seismic engineering community.

📚 Publication Top Notes

 Prediction of nonlinear dynamic responses and generation of seismic fragility curves for steel moment frames using boosting machine learning techniques
📅 Year: 2024 (Nov.)
📘 Journal: Computers & Structures
🔢 Cited by: 1

 Machine learning-based seismic risk assessment of steel moment structures: a reliability analysis framework
📅 Year: In Preparation (Expected 2025)
📘 Journal: Engineering Structures
🔢 Cited by: