Ajay Agarwal | AI in Healthcare | Excellence in Research Award

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Prof. Ajay Agarwal | AI in Healthcare | Excellence in Research Award

Prof. Ajay Agarwal is a distinguished academic leader, innovator, and technologist, currently serving as Professor at the Indian Institute of Technology Jodhpur. Recognized for his pioneering contributions in microelectronics, MEMS, microfluidics, and AI-integrated sensor systems, he has been instrumental in bridging cutting-edge semiconductor research with real-world applications. His career spans academia, industry, and international collaborations, resulting in transformative advancements in point-of-care diagnostics, environmental sensing, and precision health systems. With an entrepreneurial vision, he has founded and mentored technology startups, directed research centers of excellence, and served in influential leadership positions across interdisciplinary initiatives that blend engineering, medicine, and computational sciences.

Profile:

Scopus | Orcid | Google Scholar

Education:

Prof. Agarwal’s academic journey is rooted in rigorous training in electrical engineering, microelectronics, and semiconductor device fabrication. He acquired a deep technical foundation in integrated circuit design, nanotechnology, and MEMS during his early academic pursuits, further enhanced through research engagements with premier institutions and international research centers. His education involved multidisciplinary learning that combined materials science, sensor physics, and microfabrication techniques, preparing him to tackle complex, application-driven research challenges. Exposure to global laboratories and collaborative projects enabled him to integrate cross-domain expertise, positioning him to lead advanced R&D programs that intersect engineering innovation with biomedical and industrial solutions.

Experience:

Over his professional career, Prof. Agarwal has held influential roles as Professor, Ex-Head of the Department of Electrical Engineering at IIT Jodhpur, Director at Electronics Sector Skills Council of India, and founder-mentor for multiple technology ventures. His research leadership extends to high-impact collaborations with organizations like AIIMS Jodhpur, TCS, DRDO, and the Ministry of AYUSH. Internationally, he has contributed to microfabrication and MEMS innovations in Singapore and industry-driven sensor projects. He has also mentored several doctoral candidates, shaping the next generation of microelectronics and AI-integrated systems researchers.

Research Interests:

Prof. Agarwal’s research integrates micro- and nanoelectronics, MEMS/NEMS, and advanced sensor technologies with artificial intelligence and machine learning for diagnostic, environmental, and industrial applications. He specializes in silicon nanowire biosensors, microfluidic lab-on-chip devices, RF MEMS systems, and ultrasensitive detection platforms. His focus areas include AI-assisted early disease detection, high-resolution environmental monitoring, intelligent IoT sensor networks, and microfabrication for Industry solutions. Leveraging computational modeling with experimental prototyping, his work bridges the gap between device physics and system-level deployment. His interdisciplinary approach emphasizes scalable, reliable, and low-cost sensing technologies that can be deployed in diverse sectors, from healthcare to heritage conservation.

Awards and Honors:

Prof. Agarwal’s excellence has been recognized through multiple prestigious awards for research innovation, technological impact, and leadership. These honors reflect his sustained contributions to microelectronics, MEMS, and AI-driven sensing systems. His accolades span institutional research excellence awards, national technology recognitions, and international collaborative research honors. These distinctions celebrate not only his scientific breakthroughs but also his commitment to applying engineering advances for societal benefit. His award-winning projects have addressed pressing challenges in healthcare diagnostics, environmental sustainability, and semiconductor technology development, positioning him as a thought leader and innovator whose work has transformed both academic and industrial landscapes.

Publications:

Title: High-performance fully depleted silicon nanowire (diameter ≤ 5 nm) gate-all-around CMOS devices
Citation: 845
Year of Publications: 2006

Title: Silicon nanowire arrays for label-free detection of DNA
Citation: 593
Year of Publications: 2007

Title: DNA sensing by silicon nanowire: charge layer distance dependence
Citation: 367
Year of Publications: 2008

Title: Label-free direct detection of MiRNAs with silicon nanowire biosensors
Citation: 338
Year of Publications: 2009

Title: Label-free electrical detection of cardiac biomarker with complementary metal-oxide semiconductor-compatible silicon nanowire sensor arrays
Citation: 330
Year of Publications: 2009

Title: Si, SiGe nanowire devices by top–down technology and their applications
Citation: 223
Year of Publications: 2008

Title: Ultra-narrow silicon nanowire gate-all-around CMOS devices: Impact of diameter, channel-orientation and low temperature on device performance
Citation: 216
Year of Publications: 2006

Conclusion:

Prof. Ajay Agarwal exemplifies the integration of deep scientific expertise, technological innovation, and societal impact. His work has advanced the frontiers of semiconductor devices, biosensing, and AI-enabled diagnostics, influencing both academic research and industrial practices. By fostering interdisciplinary collaborations and mentoring future innovators, he has created a legacy of knowledge transfer and application. His achievements in microelectronics, nanotechnology, and MEMS have translated into practical solutions for healthcare, environmental monitoring, and intelligent systems. With a proven record of high-impact publications, patents, and collaborative leadership, he continues to shape the future of engineering-driven innovation on a global scale.

Ali Ghulam | AI in Healthcare | Best Researcher Award

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Dr. Ali Ghulam | AI in Healthcare | Best Researcher Award

Assistant Professor at Information Technology Centre, Sindh Agriculture University, Pakistan

Dr. Ghulam Ali is an accomplished academic and researcher specializing in artificial intelligence (AI) and bioinformatics. He earned his Ph.D. in Computer Software and Theory from Shaanxi Normal University, Xi’an, China, in 2020. Currently, he serves as an Assistant Professor at the Information Technology Centre, Sindh Agriculture University, Tandojam. His research focuses on human disease pathway network modeling, biological pathway database discovery, and AI-driven predictions related to proteins, drugs, and diseases. With over 20 published SCI articles in high-impact journals and extensive contributions to machine learning applications in bioinformatics, Dr. Ali is a recognized expert in his field.

Profile

Orcid

Education

Dr. Ali pursued his Ph.D. from Shaanxi Normal University, Xi’an, China, specializing in bioinformatics and AI. His thesis, titled “Prediction of Pathway Related Protein, Drug and Disease Association Based on Complex Network and Deep Learning,” was supervised by Prof. Xiujuan Lei. He completed his M.Phil. in Computer Science with a specialization in Search Engine Optimization from the University of Sindh, Jamshoro. His academic journey began with a Bachelor of Computer Science (BCS-Hons) from the same university. Additionally, he obtained various certifications and diplomas in information technology, further strengthening his expertise in computing and AI.

Experience

Dr. Ali has a strong academic and research background, currently holding the position of Assistant Professor at Sindh Agriculture University, Tandojam. His professional journey includes extensive work on bioinformatics, AI-based predictive models, and computational biology. He has contributed significantly to research in AI applications for human protein sequence analysis, disease detection, and biomedical data transformation. With a deep understanding of AI, deep learning, and machine learning techniques, he has played a pivotal role in advancing bioinformatics research and education.

Research Interests

Dr. Ali’s research primarily revolves around bioinformatics and artificial intelligence. He is particularly focused on human disease pathway modeling, drug-protein interaction prediction, and machine learning applications in genomics. His work involves utilizing AI to enhance precision diagnostics, early-stage disease detection, and advanced biomedical data analysis. By leveraging deep learning and AI-driven methodologies, Dr. Ali aims to improve healthcare analytics and disease treatment strategies. His research has practical implications in the fields of computational biology, digital health frameworks, and AI-driven medical solutions.

Awards and Recognitions

Dr. Ali has received numerous accolades for his contributions to AI and bioinformatics research. His high-impact factor publications and citations reflect his significant contributions to the scientific community. With an H-index of 12 on Google Scholar, an i10-index of 18, and a ResearchGate H-index of 11, his research has been widely recognized and cited. He has also been nominated for various research excellence awards, highlighting his influence in the field of computational biology and AI-driven biomedical advancements.

Publications

Ali, Ghulam, et al. (2025). “StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach.” IET Systems Biology, 19(1), e70002. (SCI, IF: 1.9, Cited by: X).

Arif, Muhammad, et al. (2024). “StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features.” Methods, 230, 129-139. (SCI, IF: 4.02, Cited by: X).

Arif, Muhammad, et al. (2024). “DPI_CDF: Druggable protein identifier using cascade deep forest.” BMC Bioinformatics, 25(1), 1-18. (SCI, IF: 3.09, Cited by: X).

Talpur, Fauzia, et al. (2024). “ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization.” Sensors, 24(5), 1672. (SCI, IF: 3.09, Cited by: X).

Ghulam, Ali, et al. (2024). “Assessment of Performance of Machine Learning Classification Techniques for Monkey Pox Disease Detection.” Journal of Innovative Intelligent Computing and Emerging Technologies, 1(1), 1-7. (Cited by: X).

Memon, Mukhtiar, et al. (2023). “AiDHealth: An AI-enabled Digital Health Framework for Connected Health and Personal Health Monitoring.” (Cited by: X).

Sikander, Rahu, et al. (2023). “Identification of cancerlectin proteins using hyperparameter optimization in deep learning and DDE profiles.” Mehran University Research Journal of Engineering & Technology, 42(4), 28-40. (WoS, Cited by: X).

Conclusion

Dr. Ghulam Ali is a distinguished researcher and academician in the field of artificial intelligence and bioinformatics. His contributions to AI-driven biomedical research, particularly in disease pathway modeling and predictive analytics, have significantly advanced the field. With a strong publication record, multiple citations, and a commitment to innovation, he continues to influence computational biology and digital health research. His work bridges the gap between AI and medical sciences, paving the way for future breakthroughs in bioinformatics and AI-driven healthcare solutions.

Neeraj Thakur | AI in Healthcare | Best Researcher Award

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Dr. Neeraj Thakur | AI in Healthcare | Best Researcher Award

Postdoctoral Fellow at University of Oklahoma Health Sciences, United States

Dr. Neeraj S. Thakur, currently a Postdoctoral Fellow in the Department of Pharmaceutical Sciences at the University of Oklahoma Health Sciences Center (OUHSC), is a highly motivated researcher specializing in drug delivery systems, theranostic platforms, and AI-based approaches for developing novel diagnostics and treatments. With over a decade of international research experience spanning the USA, Europe, and Asia, Dr. Thakur has led multiple projects related to nanomaterial design, formulation development, and the synthesis of advanced drug delivery systems for treating diseases like cancer and infections. His expertise extends to both small molecules and large biomolecules, utilizing cutting-edge technologies such as polymeric and lipid nanoparticles. He has an extensive publication record with 29 papers, five patents, six book chapters, and significant contributions to the field.

Profile

Scopus

Education

Dr. Thakur earned his Ph.D. in Pharmaceutical Technology (Biotechnology) from the National Institute of Pharmaceutical Education and Research (NIPER), Mohali, India, where his research focused on the development of nanoparticle-based fluorescent probes for biomedical applications. He also holds an M.Tech in Pharmaceutical Technology (Biotechnology) from NIPER, Mohali, where he was the class topper, and a B.Pharm degree from Shri G.S. Institute of Technology and Science, Indore. Additionally, he is pursuing a Certificate in Data Science and Machine Learning from the Massachusetts Institute of Technology (MIT).

Experience

Dr. Thakur has held significant roles in various research institutions. As a Postdoctoral Fellow at OUHSC, he established research laboratories and led projects on nanomaterial development for drug delivery systems targeting multiple applications, including inner ear and ocular delivery. Prior to this, he worked at the University of Geneva, Switzerland, where he developed hybrid micelle formulations for transdermal delivery and designed iontophoretic devices. He also contributed to the Center of Innovative and Applied Bioprocessing (CIAB), India, where he led the development of topical drug delivery systems and was involved in several patent filings. These experiences have honed his skills in formulation and analytical development, laboratory management, and industrial collaboration.

Research Interests

Dr. Thakur’s research interests focus on the development of advanced drug delivery systems, particularly using nanomaterials such as polymeric and lipid nanoparticles. His work aims to improve the therapeutic efficacy of drugs by enhancing their delivery to specific sites in the body, such as the inner ear, ocular tissues, and tumors. He is also dedicated to the integration of AI-based approaches for optimizing drug delivery design, ensuring more precise treatments for conditions like cancer and ototoxicity. His passion extends to the creation of theranostic platforms for early disease diagnosis and personalized medicine.

Awards

Throughout his career, Dr. Thakur has received numerous accolades for his contributions to pharmaceutical sciences. Notable among them are the John B. Bruce Scholarship Award (2024), the Best Abstract Award at AAPS Pharm360 (2023), and the prestigious Swiss Government Excellence Scholarship (2020-2021). His earlier achievements include the DST-INSPIRE and CSIR Research Fellowships, which are awarded to the top 1% of students in India. These recognitions underscore his impact on the scientific community and his leadership in advancing pharmaceutical research.

Publications

Dr. Thakur has authored 29 peer-reviewed papers, with some of his recent work focused on innovative drug delivery systems. Key publications include:

Thakur, N.S., et al., “Crosslinked Hybrid Nanoparticle Embedded in Thermogel For Sustained Co-Delivery to Inner Ear,” Journal of Nanobiotechnology, 2024.

Thakur, N.S., et al., “Progress and Promise of Photoresponsive Nanocarriers for Precision Drug Delivery in Cancer,” Journal of Photochemistry & Photobiology C: Photochemistry Reviews, 2024.

Thakur, N.S., et al., “Dual Stimuli-Responsive and Sustained Drug Delivery Nanosensogel for Prevention of Cisplatin-Induced Ototoxicity,” Journal of Controlled Release, 2024.

Paul, S., et al., “Co-Administration of Chemo-Phototherapeutic Loaded Lignin Nanoarchitecture for Skin Cancer and Bacterial Infections,” ACS Applied Nano Materials, 2024.

Kumar, S., et al., “Bioengineered Multi-Walled Carbon Nanotubes Based Biosensors and Applications,” Sensors and Diagnostics, 2023. These works, which cover nanomedicine, drug delivery, and nanomaterial innovation, have significantly contributed to the field of pharmaceutical sciences and have been widely cited.

Conclusion

Dr. Neeraj S. Thakur’s multifaceted career highlights his dedication to advancing pharmaceutical research through innovation in nanotechnology and drug delivery systems. His profound knowledge in both academic and industrial settings, along with his leadership in driving collaborative research projects, continues to position him as a key figure in his field. With a focus on precision medicine, AI-based design, and the development of targeted therapies, Dr. Thakur is making remarkable strides toward improving patient outcomes and advancing the future of drug delivery and diagnostics.

Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

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Dr. Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

Professor | Federal University of Santa Catarina| Brazil

Andreia de Bem Machado is a teacher, researcher, educational consultant, and academic work supervisor based in Santa Catarina, Brazil. With over 25 years of experience in the education sector, her academic journey is highlighted by a PhD in Engineering and Knowledge Management from the Federal University of Santa Catarina (UFSC), a Master’s in Scientific and Technological Education from the same institution, and a specialization in Literacy. She has been involved in diverse educational fields, including distance education, hybrid teaching, digital technologies, and knowledge management. She has held positions in universities, schools, and research institutions, contributing to educational innovation and policy development. As an expert in these areas, she has also published several articles and chapters in national and international journals.

Profile

Scopus

Education

Andreia de Bem Machado’s educational qualifications reflect her extensive expertise in education and knowledge management. She holds a PhD in Engineering and Knowledge Management from UFSC (2014–2018), with a focus on entrepreneurship, administration, and innovation. Prior to this, she completed a Master’s degree in Scientific and Technological Education at UFSC (2005–2007), further specializing in literacy through a post-graduate program at Santa Catarina State University (1994–1996). Her undergraduate degree in Pedagogy was also from Santa Catarina State University, where she graduated in 1994. These academic credentials have provided her with the theoretical foundation to pursue and contribute to research and education in a variety of academic and professional settings.

Experience

Dr. Andreia de Bem Machado has held numerous teaching and administrative roles throughout her career. Currently, she serves as the Director of Education at the Palhoça Municipal Department of Education in Brazil. She also holds positions as a Special Education Advisor and a professor in Pedagogy and Engineering courses at various educational institutions, including Faculdade Municipal da Palhoça and Faculdade do Vale. Additionally, she works as an evaluator for the National Institute for Educational Studies and Research (INEP), and her academic experience spans multiple universities such as the Federal University of Santa Catarina (UFSC) and Leonardo da Vinci University Center. Furthermore, Andreia has contributed to international education through her role as an evaluator for the Ministry of Education in Portugal and a consultant for UNESCO in special education materials. Her diverse experience emphasizes her dedication to educational excellence and innovation across local and global contexts.

Research Interests

Andreia’s primary research interests lie at the intersection of education, technology, and management. She has a deep focus on distance education, hybrid teaching models, and the integration of digital technologies into educational practices. Additionally, her research explores the concept of knowledge management, with applications in business administration and entrepreneurship. She is particularly interested in how digital tools and active learning methodologies can foster sustainable education and contribute to the development of innovative educational environments. Her work also delves into special education, specifically in creating inclusive learning environments for students with visual impairments. Andreia has collaborated with various research groups, including the Center for Studies in Intelligence, Management, and Technologies for Innovation (IGTI), to further explore these topics.

Awards

Throughout her career, Dr. Andreia de Bem Machado has received various accolades for her contributions to education. Notably, she was recognized with the Student Merit Award during her academic tenure. This acknowledgment reflects her academic excellence and her ongoing commitment to improving education, particularly in the domains of special education and distance learning. She also participated in multiple training and certification programs that have reinforced her expertise, such as courses on educational technologies, school management, and innovative teaching practices.

Publications

Dr. Andreia de Bem Machado has authored several significant publications in the fields of education, knowledge management, and technology. Her contributions include book chapters and journal articles in both national and international academic forums. A few of her selected publications include:

  1. Machado, A. de B. (2022). Digital Learning as an Educational Format towards Sustainable Education. Journal of Education and Technology, 28(1), 45–60.
  2. Machado, A. de B. (2021). Innovative Learning Methods for Distance Education. International Journal of Educational Innovations, 22(3), 134–150.
  3. Machado, A. de B., & Souza, M. (2020). Hybrid Teaching Models in Higher Education: Challenges and Opportunities. Journal of Educational Research, 45(2), 78–92.
  4. Machado, A. de B. (2019). Inclusive Education for Students with Visual Impairments: Approaches and Solutions. International Journal of Special Education, 18(4), 210–220.

Her work has been widely cited by scholars in educational research, with numerous articles examining the integration of technology in education and innovative teaching strategies. These contributions continue to influence academic thought in her field.

Conclusion

Dr. Andreia de Bem Machado’s multifaceted career underscores her dedication to advancing education through innovative practices and research. Her academic qualifications, coupled with extensive experience in various educational roles, allow her to be a leader in both the theoretical and practical realms of education. She has significantly contributed to the improvement of education systems through her involvement in distance learning, hybrid teaching, and special education. Her continued research and publications in knowledge management and educational technologies emphasize her position as a thought leader in the field, shaping the future of education in Brazil and beyond.