Werner E.G. Müller | Open Source | Best Scholar Award

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Prof. Werner E.G. Müller | Open Source | Best Scholar Award

Prof. Dr. Dr. h.c | Mainz University Medical Center | Germany

Prof Werner E. G. Müller is a leading researcher in biochemistry, molecular medicine, and regenerative medicine, with pioneering contributions spanning virology, marine biotechnology, biomineralization, nanomedicine, and translational biomedical research. His work has been instrumental in the development of antiviral and anticancer therapeutics, including ara-A, ara-C, and Bleomycin, while also establishing the biomedical relevance of inorganic polyphosphates for tissue regeneration. Müller has led independent research groups and coordinated numerous international and EU-funded projects, advancing both fundamental science and clinical applications. His research integrates molecular mechanisms with practical strategies to enhance drug development, tissue engineering, and regenerative therapies, establishing innovative platforms that bridge academic research with industrial and translational opportunities. As a prolific scholar, Müller has published over 1,200 SCI-indexed articles and more than 20 monographs, contributing to multiple international patents that translate scientific discoveries into therapeutic applications. His investigations in marine biotechnology have opened new pathways for understanding biomineralization processes and their application in regenerative medicine, while his work in nanomedicine provides novel insights into drug delivery, biomaterials, and cellular repair mechanisms. Müller has also played a central role in mentoring future leaders in science, supervising more than 70 PhD students and over 100 Master’s and Bachelor’s theses, cultivating the next generation of experts in biochemistry, molecular medicine, and biotechnology. Recognition of his research includes prestigious awards, an ERC Advanced Grant, three ERC Proof-of-Concept Grants, and international honors, highlighting his influence as a pioneer and global bridge-builder in multiple biomedical fields. The impact of his work continues to shape strategies for disease treatment, tissue regeneration, and biotechnology innovation. Müller’s research has achieved 38,701 citations, 1,125 published documents, and an h-index of 89, demonstrating the profound and sustained global impact of his scientific contributions.

Profile:  Scopus 
Featured Publication

Freeze-cast composites of alginate/pyrophosphate-stabilized amorphous calcium carbonate: From the nanoscale structuration to the macroscopic properties. ACS Biomaterials Science & Engineering, volume, page range. Citations: 1

Janus orthogonal nanofiber membrane containing CPP@PDA for skull base reconstruction. Journal of Materials Science and Technology, volume, page range. Citations: 2

Cell migration, DNA fragmentation and antibacterial properties of novel silver doped calcium polyphosphate nanoparticles. Scientific Reports, volume, page range. Citations: 8

Polyphosphate nanoparticles: Balancing energy requirements in tissue regeneration processes. Journal Name, volume, page range. Citations: 8

Evaluation of a novel triplex immunochromatographic test for rapid simultaneous detection of norovirus, rotavirus, and adenovirus on a single strip test. Journal of Infection and Public Health, volume, page range. Citations: 3

Nadiia Konovenko | Education Technology | Women Researcher Award

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Dr. Nadiia Konovenko | Education Technology | Women Researcher Award

Odesa National University of Technology | Ukraine

Dr Nadiia Konovenko is a docent of the Department of Physical and Mathematical Sciences at Odesa National University of Technology, Ukraine, with extensive contributions to the study of algebras of differential invariants, Lobachevsky geometry, differential geometry, 2F-planar mappings, and quasi-geodesic mappings. Her research is notable for discovering fields of rational differential invariants for the actions of Lie pseudogroups on planar webs, enabling a classification of planar 3-webs with respect to symplectic and conformal Lie pseudogroups. Nadiia Konovenko has successfully completed 20 research projects and is currently working on two more, continuously enriching the mathematical sciences domain with new insights and methods. She is the author of the book “Differential Invariants and sl2 Geometry” published by Naukova Dumka and has published 20 papers in indexed journals, demonstrating consistent productivity and impact. Beyond her publications, she serves as the managing editor of the journal “Proceedings of the International Geometry Center” and is a member of the editorial board of “Automation of Technological and Business Processes,” actively shaping the dissemination of high-quality research. Nadiia Konovenko is also chair of the organizing committee and a member of the international scientific committee of the conference “Algebraic and Geometric Methods of Analysis,” which brings together leading researchers to advance knowledge in geometry and related fields. Her collaborations include participation in programs such as “Infinite-dimensional Riemannian Geometry with Applications to Image Matching and Shape Analysis” at the Erwin Schrödinger International Institute for Mathematical Physics, Vienna, and engagement in the X and XI Summer Schools on Algebra, Topology, and Analysis. As a full member of the Kyiv Mathematical Society, Nadiia Konovenko continues to play a vital role in advancing geometric theory and its applications. Her research impact is reflected by 17 citations in 13 documents and an h-index of 2.

Profile:  Google Scholar | Scopus | ORCID
Featured Publication

Konovenko, N. G. (2004). 2F-planar mappings of Riemannian spaces preserving a generalized f-structure. Proceedings of the International Laptev Geometry Seminar, 8. Citations: 8

Konovenko, N., & Lychagin, V. (2011). On projective classification of plane curves. Global and Stochastic Analysis, 1(2), 1–24. Citations: 7

Konovenko, N., & Lychagin, V. (2016). Invariants of projective actions and their application to recognition of fingerprints. Analysis and Mathematical Physics, 6(1), 95–107. Citations: 6

Konovenko, N. G. (2013). Differential invariants and sl2-geometry. Kyiv: Naukova Dumka Publishing House, National Academy of Sciences of Ukraine. Citations: 6

Konovenko, N. (2010). Projective structures and algebras of their differential invariants. Acta Applicandae Mathematicae: An International Survey Journal on Applying Mathematics, 110(1), 167–185.  Citations: 6

Khaista Rahman | Artificial Intelligence| Best Paper Award

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Dr. Khaista Rahman | Artificial Intelligence| Best Paper Award

Assistant Professor | Shaheed Benazir Bhutto University Sheringal | Pakistan 

Dr. Khaista Rahman is a distinguished researcher specializing in fuzzy set theory, fuzzy logic, aggregation operators, and artificial intelligence-based decision support systems, with a strong focus on solving decision-making problems under uncertainty. His work explores advanced mathematical structures like Pythagorean fuzzy numbers, interval-valued fuzzy models, and complex fuzzy systems to create robust solutions for multi-attribute group decision-making processes. Dr. Rahman has published extensively on generalized and induced aggregation operators, developing new models that enhance decision accuracy and reliability in diverse applications such as plant location selection, hospital siting during COVID-19, vaccine selection, and railway optimization problems. His research integrates t-norm and t-conorm-based approaches, Einstein hybrid operators, and logarithmic intuitionistic fuzzy techniques to handle complex decision environments. He has also supervised several M.Phil., M.Sc., and BS scholars, contributing significantly to academic mentorship and knowledge dissemination. Recognized among the top 2% scientists worldwide by Stanford University from 2022 to 2025, he has made substantial contributions to granular computing, soft computing, and intelligent systems literature. His work during the COVID-19 pandemic stands out for developing emergency response models using complex fuzzy information to predict and manage disease spread in Pakistan. As Principal Investigator of a funded project on complex intelligent decision support models, Dr. Rahman has bridged theoretical advancements with practical implementations, making his research highly impactful. With an H-index of 26 and over 1900 citations, his scholarly influence spans mathematics, operations research, and computational intelligence, providing frameworks that empower policymakers and industries to make optimal decisions in uncertain and dynamic scenarios. Dr. Khaista Rahman has achieved 776 citations across 532 documents with an impressive h-index of 16.

Profile:  Scopus | ORCID
Featured Publication

  1. Rahman, K., & Khishe, M. (2024). Confidence level based complex polytopic fuzzy Einstein aggregation operators and their application to decision-making process [Retracted]. Scientific Reports, 14(1), 15253.

  2. Rahman, K., & Khishe, M. (2024). Retraction Note: Confidence level based complex polytopic fuzzy Einstein aggregation operators and their application to decision-making process. Scientific Reports, 14(1).

  3. Rahman, K., et al. (2025). Unraveling vegetation diversity and environmental influences in the Sultan Kha Valley, Dir Upper, Pakistan: An advanced multivariate analysis approach. Polish Journal of Environmental Studies.

  4. Rahman, K. (2024). Some new types induced complex intuitionistic fuzzy Einstein geometric aggregation operators and their application to decision-making problem. Neural Computing and Applications.

Vandana Rajput | Machine Learning | Best Researcher Award

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Ms. Vandana Rajput | Machine Learning | Best Researcher Award

Research Scholar| Netaji Subhas University of Technology | India

Ms. Vandana Rajput, currently a Research Scholar at Netaji Subhas University of Technology, am pleased to nominate myself for the Best Researcher Award. I received my B.E. (2015) and M.Tech (2017) in Information Technology from MITS, Gwalior, and gained valuable industry experience as a Senior Research Analyst at TechieShubhdeep Itsolution Pvt. Ltd. in 2019. Additionally, I served as guest faculty at MNNIT Allahabad and SRCEM colleges, sharing knowledge and guiding students. I have worked as a Junior Research Fellow (JRF) on the prestigious IIT Mandi iHub research project, which helped strengthen my expertise in machine learning and research methodology. My work involves designing innovative concepts, developing methodologies, conducting experiments, and validating results to ensure accuracy and scientific rigor. I have authored one Scopus-indexed publication and continue to contribute to research through original manuscripts. My areas of research focus on machine learning and its applications in solving real-world challenges. I remain committed to advancing research excellence and innovation, collaborating with peers, and producing high-quality, impactful work. I hereby declare that the information provided is accurate to the best of my knowledge and agree to abide by all rules, terms, and conditions of the award nomination process.

Profile:  Scopus

Featured Publication

1. Rajput, V., Jain, A., & Jain, M. (2025). An Automatic Approach for Detecting Cognitive Distortion from Spontaneous Thinking. Procedia Computer Science, 260, 768-775 Citations: 2

Prof. Dr. Mushtaq Ahmed | Natural Language Processing | Best Researcher Award

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Prof. Dr. Mushtaq Ahmed | Natural Language Processing | Best Researcher Award

Professor | University of Science and Technology | Pakistan

Prof. Dr. Mushtaq Ahmed (Ph.D., UFSM-Brazil; Post-doc, Lund University, Sweden) is a distinguished researcher, HEC-approved Ph.D. supervisor, and two-time HEC Best University Teacher Awardee (2008 & 2020), currently serving as Professor & Chairman, Department of Biotechnology, and Dean, Faculty of Arts & Humanities at the University of Science and Technology, Bannu, Pakistan. With over two decades of academic and research experience, he has made impactful contributions to biochemistry, toxicology, enzymology, nanotechnology, and drug discovery, with a special focus on snake venom acetylcholinesterase characterization, neuroprotection, oxidative stress, diabetes management, and green synthesis of nanoparticles for biomedical applications. Dr. Ahmed has authored more than 100 international ISI-indexed publications in high-impact journals including Chemico-Biological Interactions, Journal of Enzyme Inhibition & Medicinal Chemistry, and Applied Organometallic Chemistry, advancing knowledge in drug design and therapeutic innovation. He has successfully supervised 8 Ph.D. and 30 M.Phil scholars, established state-of-the-art research facilities such as an animal house and enzymology laboratory, and led several nationally funded projects focused on novel drug design and neuroprotective strategies. In addition, he serves as a reviewer for multiple international journals and organizes scientific symposia, continuing to mentor future researchers and strengthen Pakistan’s scientific ecosystem.

Profile:  Google Scholar | ORCID

Featured Publications

1. Khan, R. A., Khan, M. R., Sahreen, S., & Ahmed, M. (2012). Evaluation of phenolic contents and antioxidant activity of various solvent extracts of Sonchus asper (L.) Hill. Chemistry Central Journal, 6(1), 12. Citations: 325

2. Khan, R. A., Khan, M. R., Sahreen, S., & Ahmed, M. (2012). Assessment of flavonoids contents and in vitro antioxidant activity of Launaea procumbens. Chemistry Central Journal, 6(1), 43. Citations: 292

3. Abbasi, A. M., Khan, M. A., Ahmed, M., & Zafar, M. (2010). Herbal medicines used to cure various ailments by the inhabitants of Abbottabad district, North West Frontier Province, Pakistan. Indian Journal of Traditional Knowledge, 9(1), 175–183. Citations: 162

4. Bagatini, M. D., Martins, C. C., Battisti, V., Gasparetto, D., Da Rosa, C. S., … & Ahmed, M. (2011). Oxidative stress versus antioxidant defenses in patients with acute myocardial infarction. Heart and Vessels, 26(1), 55–63. Citations: 155

5. Ahmed, M., Rocha, J. B. T., Corrêa, M., Mazzanti, C. M., Zanin, R. F., Morsch, A. L. B., … & Schetinger, M. R. C. (2006). Inhibition of two different cholinesterases by tacrine. Chemico-Biological Interactions, 162(2), 165–171. Citations: 80

Fahim Kanani | Open Source | Best Research Article Award

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Dr. Fahim Kanani | Open Source | Best Research Article Award

Surgeon at Belenson Medical Centre | Israel

Dr. Fahim Kanani has built an impressive portfolio of research that blends clinical innovation, evidence-based methodology, and modern technological integration. His body of work reflects not only scientific rigor but also practical applicability, with studies addressing abdominal wall reconstruction, hepatobiliary and pancreatic surgery, transplant medicine, and the use of artificial intelligence in surgical decision-making. Publishing in high-impact, peer-reviewed journals such as Annals of Surgery, Journal of Clinical Medicine, and Artificial Intelligence Surgery underscores his academic credibility and visibility within the medical community. Beyond publications, his research has already been acknowledged with conference awards, including recognition among the top ten best presentations at a national surgical congress. This dual validation—both through peer-reviewed science and professional awards—positions him as a researcher whose contributions extend beyond theory into real-world medical advancement. Although some of his papers are still in the early stages of citation growth, the quality, scope, and innovation embedded in his research clearly demonstrate strong long-term potential and impact.

Professional Profile

ORCID

Education

Dr. Fahim Kanani completed his Doctor of Medicine degree in Italy with distinction, where he developed a strong foundation in clinical medicine and surgical sciences. Following this, he pursued extensive postgraduate training in internal medicine, general surgery, and advanced surgical techniques across leading academic hospitals in Israel and Europe. His medical education was further enriched through multiple fellowships and certifications in minimally invasive surgery, trauma care, robotic surgery, and organ transplantation. To complement his clinical expertise, he is undertaking advanced studies in public health and health administration at Tel Aviv University, integrating leadership and healthcare management into his medical career. He has also been awarded several international scholarships and certifications that reflect his dedication to continuous learning. His educational background illustrates a balance between rigorous academic training, specialized surgical skills, and a strong orientation toward leadership in both clinical practice and healthcare systems.

Experience

Dr. Kanani has accumulated diverse and extensive experience across prominent medical centers in Israel, Italy, and internationally. His journey began with internships in academic hospitals, where he gained broad exposure to medicine and surgery. He went on to serve as a resident, chief resident, and later as an attending surgeon in major surgical departments, where he handled a wide spectrum of elective and emergency cases. His expertise covers general surgery, oncological procedures, abdominal wall reconstruction, and hepatobiliary and pancreatic interventions. He currently practices as an attending surgeon and transplant surgery fellow, combining advanced clinical care with research responsibilities. In addition to his hospital roles, he has worked as an emergency physician, course instructor, and clinical examiner, contributing to medical education and training. He also supervises residents and students, guiding them in surgical practice and academic research. His career reflects a consistent balance of clinical leadership, teaching, and innovation in surgery.

Skills

Dr. Kanani possesses a broad and sophisticated skill set that combines surgical precision, research ability, and academic leadership. Clinically, he is proficient in general surgery, hepatobiliary and pancreatic surgery, abdominal wall reconstruction, and minimally invasive and robotic techniques. He has advanced expertise in trauma management, organ transplantation, and perioperative care, allowing him to manage complex surgical cases effectively. His skills extend to flexible endoscopy, advanced laparoscopic procedures, and emergency interventions. Beyond the operating room, he is an experienced educator, having served as a lecturer, tutor, and thesis supervisor for medical students and residents. He is skilled in protocol design, systematic reviews, and statistical analysis, often applying these methods to evidence-based research. His growing expertise in artificial intelligence and its applications in surgery highlights his ability to integrate technology into clinical practice. Altogether, his skill set blends hands-on surgical excellence with innovation, research acumen, and academic mentorship.

Research Focus

Dr. Kanani’s research is centered on improving surgical outcomes, advancing transplant medicine, and exploring innovations in minimally invasive and robotic surgery. He has conducted systematic reviews and multicenter studies on hernia repair, bariatric procedures, colorectal interventions, and perioperative care. His investigations also include cancer-related surgical protocols, abdominal wall reconstruction, and the optimization of patient management in both elective and emergency settings. More recently, his focus has expanded to the integration of artificial intelligence into surgical training and decision-making, aiming to enhance patient safety and operative efficiency. He has collaborated with international research teams and contributed extensively to high-impact journals in surgery and medicine. His research philosophy emphasizes protocol-driven practice, clinical safety, and the application of emerging technologies. By combining evidence-based medicine with innovation, his work provides meaningful insights into improving the quality of surgical care while shaping the future of academic and clinical surgery.

Awards 

Dr. Kanani has received multiple awards and honors in recognition of his academic excellence, clinical achievements, and contributions to medical research. He graduated with top distinction in medicine and has been honored with excellence awards for his clinical training and teaching. His role as an educator was further recognized with awards for outstanding lectureship, reflecting his dedication to mentoring and academic development. Internationally, he was awarded a prestigious scholarship in robotic surgery, which provided advanced exposure to cutting-edge surgical techniques. He has also been recognized for completing his surgical residency with distinction, underscoring his clinical expertise. His research achievements earned him a Best Researcher Award in medicine and dentistry, along with recognition for multiple scientific papers that were selected among the best at national and international surgical congresses. These accolades demonstrate his dual strength as a skilled surgeon and an innovative researcher committed to advancing medical science.

Publication Top Notes

Title: The Effect of Revisional One Anastomosis Gastric Bypass After Sleeve Gastrectomy on Gastroesophageal Reflux Disease, Compared with Revisional Roux-en-Y Gastric Bypass: Symptoms and Quality of Life Outcomes
Year: 2023
Citation : 5

Title: Predictors of Poor Quality of Life in Patients with Gastroesophageal Reflux Disease Undergoing Sleeve Gastrectomy
Year: 2024
Citation : 1

Conclusion

In conclusion, Dr. Fahim Kanani stands out as a highly suitable candidate for a Best Research Article Award, given his combination of clinical excellence, research productivity, and forward-looking innovation. His work embodies high academic standards and has already achieved national recognition while steadily gaining international reach. By integrating surgical expertise with cutting-edge technologies such as artificial intelligence and advanced minimally invasive techniques, he has opened new avenues for safer, more effective patient care. Looking ahead, areas such as expanding first- and last-author leadership roles, increasing international collaborations, and translating findings into clinical guidelines will further enhance his global influence. Even at this stage, his scholarly contributions provide meaningful advancements in surgical knowledge, perioperative care, and clinical outcomes. The balance of originality, practical application, and growing recognition in his research justifies strong consideration for this award, affirming his role as both an innovator and a rising leader in modern surgery.

Surender Singh | Internet of Things | Best Researcher Award

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Mr. Surender Singh | Internet of Things | Best Researcher Award

Assistant Professor at Bhai Gurdas Institute of Engineering and Technology | India

Dr. Surender Singh is a highly dedicated and passionate researcher whose scholarly contributions in the domains of wireless sensor networks, wireless body area networks, and intelligent routing algorithms demonstrate both technical depth and practical societal relevance. His extensive academic journey has been supported by his role as an Assistant Professor, where he combines classroom teaching with impactful research. His patents on energy-efficient routing protocols and wireless charging stations highlight his capacity to translate innovative ideas into practical solutions with real-world application potential. Alongside his patents, his book chapters, IEEE-indexed review papers, and SCIE-indexed journal articles further strengthen his academic credibility, reflecting a growing recognition in reputed publication platforms. Beyond publications, Dr. Singh’s long-term teaching career, leadership positions as Dean and HOD, and award recognition for teaching excellence reveal him as both an academic leader and innovator. The upward trajectory of his recent research productivity suggests a growing international influence and sets the foundation for even greater impact in future years.

Professional Profiles

Scopus | ORCID

Education

Dr. Surender Singh has built a strong academic foundation in the field of Computer Science and Engineering. He completed his Bachelor of Technology (B.Tech.) and Master of Technology (M.Tech.) in Computer Science & Engineering, which allowed him to develop a deep understanding of core computational concepts, programming, and system design. To further strengthen his academic credentials, he pursued a Doctor of Philosophy (Ph.D.) in Computer Science & Engineering, with his thesis successfully submitted. His doctoral research focuses on advanced methods of energy-efficient communication and optimization in wireless body area networks, highlighting his strong research orientation and commitment to advancing knowledge. This blend of undergraduate, postgraduate, and doctoral qualifications not only demonstrates his academic growth but also reflects his dedication to lifelong learning and contribution to the ever-evolving discipline of computing. His academic journey serves as a firm foundation for his teaching, research, and leadership roles in higher education.

Experience

Dr. Surender Singh has accumulated extensive experience in academia and industry, bringing a well-rounded perspective to his teaching and research. He has served as an Assistant Professor in the Department of Computer Science & Engineering at a reputed engineering institute, where he has been engaged in teaching core and advanced subjects. His responsibilities have extended beyond the classroom, where he has worked as Dean (Academics), Dean (Admissions), and Head of Department, leading initiatives in accreditation, quality assurance, and curriculum development. Before his teaching career, he also worked in the industry as a Sales and Service Engineer, gaining practical knowledge of computing hardware and systems. His long-standing association with academia has enabled him to mentor students, coordinate accreditation processes, and manage academic operations with efficiency. This blend of teaching, leadership, and technical expertise underlines his ability to bridge the gap between theoretical knowledge and its practical application.

Skills

Dr. Singh possesses a versatile set of technical and professional skills that make him a competent educator and researcher in the field of computer science. He is proficient in programming languages such as C, C++, and Java, with a strong command of data structures, algorithms, and object-oriented programming principles. His knowledge extends to operating systems and computer graphics, which he teaches with clarity and practical application. Beyond software expertise, he also has hands-on experience with system hardware and testing tools, including exposure to machine learning and predictive analysis using Python. His ability to apply computational methods to real-world problems is a defining feature of his skill set. Equally important are his organizational and interpersonal abilities, demonstrated through his roles as coordinator of accreditation activities and leader in academic administration. His capability to work in teams, adapt to diverse environments, and manage projects enhances his overall effectiveness as a professional.

Research Focus

Dr. Singh’s primary research focus lies in the domain of Wireless Sensor Networks and Wireless Body Area Networks (WBANs), with an emphasis on developing energy-efficient routing protocols. His research explores optimization methods, adaptive relay selection, multi-criteria decision-making, and data compression techniques aimed at improving quality of service and energy efficiency in WBAN applications. He has published extensively in reputed journals and international conferences, contributing book chapters with globally recognized publishers such as Springer and CRC Press. His recent works include routing protocols inspired by metaheuristic approaches, hybrid models incorporating compression techniques, and adaptive relay-assisted frameworks. Alongside network design, he has also contributed to areas of digital image processing, computer graphics, and predictive analytics, showcasing interdisciplinary engagement. His ability to combine theoretical frameworks with practical application ensures his research addresses both academic and industrial challenges, advancing the future of intelligent communication networks and healthcare monitoring systems.

Awards 

Dr. Singh has been recognized for his dedication to teaching and academic excellence with the ISTE Section Best Teacher Award, a prestigious honor that highlights his impact as an educator. This award reflects his strong student mentorship, innovative teaching practices, and contributions to academic growth at his institution. Beyond awards, his professional recognition extends through life membership in ISTE, where he actively contributes to knowledge sharing and technical education initiatives. His involvement in workshops on machine learning, patent awareness, and generic skills development further demonstrates his commitment to continuous professional improvement. He has also secured patents related to energy-efficient routing protocols and wireless charging stations, underscoring his capacity for innovation and applied research. His publication record across reputed journals and conferences further cements his position as a recognized scholar in computer science. These honors and achievements collectively demonstrate his dedication to advancing education, research, and professional practice.

Publication Top Notes

Title: Invariant Feature-Based Dynamic Scene Classification Using the Optimized Convolution Neural Network
Year: 2022

Title: A Moth-Flame Inspired Routing Protocol for Selection of Relay Node in Wireless Body Area Network
Year: 2023

Title: Energy Efficient Routing Methods in Wireless Body Area Networks: A Brief Study
Year: 2023

Title: Selection of Relay Node using Multi-Criteria Decision Making in Wireless Body Area Network
Year: 2024

Title: Adaptive Relay-Assisted WBAN Protocol: Enhancing Energy Efficiency and QoS through Advanced Multi-Criteria Decision-Making
Year: 2025

Title: A Hybrid-EPC Routing Protocol incorporating Delta Data Compression to Improve Energy Efficiency in Wireless Body Area Network
Year: 2025

Conclusion

In conclusion, Dr. Surender Singh demonstrates a strong combination of academic achievements, innovative research, patents, and professional leadership, making him highly suitable for the Best Researcher Award. His work reflects a perfect blend of theory and application, especially in advancing energy-efficient routing protocols for wireless body area networks, AI-integrated communication systems, and healthcare-related computational solutions. While there remains scope for enhancing international collaborations, citation impact, and interdisciplinary engagement, his scholarly journey is clearly moving toward broader global recognition. His patents and SCIE-indexed publications prove his commitment to contributing novel solutions that address real-world technological and biomedical challenges. Additionally, his leadership roles in academia, including contributions as Dean, HOD, and coordinator, underscore his ability to influence both research and institutional growth. By merging innovation with practical impact, Dr. Singh’s work enriches the academic community and creates direct societal benefits, particularly in health-focused and technology-driven applications, establishing him as a forward-looking researcher with substantial future potential.

Alessandro Mazzoni | Data Science | Best Research Article Award

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Dr. Alessandro Mazzoni | Data Science | Best Research Article Award

Chief of Transfusion Medicine U.O. at Azienda Ospedaliera Universitaria Pisana| Italy

The researcher demonstrates a remarkable level of excellence in the field of innovative translational medicine, particularly in the specialized areas of cord blood applications for neonatology and regenerative medicine. Their body of work reflects a thoughtful combination of laboratory experimentation with carefully designed clinical trials, ensuring that scientific discovery is meaningfully connected to patient benefit. This translational approach positions the researcher as someone capable of bridging gaps between bench and bedside, which is increasingly valued in modern medicine. A large and rigorous clinical study that evaluates the use of cord blood transfusions to reduce the risk of retinopathy of prematurity in extremely low gestational age infants. The study has already gained significant recognition, with multiple citations in a short period, underscoring its impact on pediatrics and transfusion medicine while also shaping neonatal care practices worldwide.

Professional Profile

Scopus 

Education

Although specific details of Dr. Alessandro Mazzoni’s medical education and academic training are not widely available in open sources, it is evident from his professional position and research leadership that he has undergone advanced medical and scientific training in transfusion medicine, hematology, and related clinical specialties. His role as Director of the Unit of Transfusion Medicine and Transplant Biology at the Azienda Ospedaliero-Universitaria Pisana (AOUP) suggests a strong foundation in medical sciences, clinical practice, and laboratory-based transfusion biology. Typically, such a career path involves a medical degree followed by specialization in hematology, immunohematology, or transfusion medicine, coupled with extensive postgraduate research experience. While his precise university affiliations and doctoral training are not explicitly published, his demonstrated competence in leading high-impact clinical research projects, managing critical hospital units, and contributing to innovative biomedical studies highlights a comprehensive educational background rooted in both clinical and translational medical sciences.

Experience

Dr. Alessandro Mazzoni serves as the Director of the Unit of Transfusion Medicine and Transplant Biology at the Azienda Ospedaliero-Universitaria Pisana (AOUP), located at the Cisanello campus in Pisa, Italy. In this leadership capacity, he coordinates the operational management of transfusion services, ensuring that the hospital maintains an adequate and safe supply of blood and plasma for surgical interventions, emergency departments, and outpatient services. His tenure has been marked by proactive initiatives designed to address blood shortages, including extraordinary weekend openings of the transfusion center, community-based campaigns, and collaborations with cultural organizations to promote blood donation awareness. Dr. Mazzoni has also guided his team in research-driven practices that align with the hospital’s mission to advance innovation in transplantation and transfusion science. His ability to balance administrative responsibility with direct involvement in scientific studies underscores his reputation as both a clinician and a healthcare innovator at AOUP.

Skills

Dr. Mazzoni’s professional skill set reflects a unique blend of clinical expertise, leadership ability, and research collaboration. As a transfusion medicine specialist, he possesses in-depth knowledge of blood component management, immunohematology, and transplant biology. His leadership skills are demonstrated through his capacity to oversee critical transfusion services while orchestrating large-scale public health campaigns to recruit blood and plasma donors during periods of shortage. He is highly skilled in fostering interdisciplinary collaboration, linking clinical practice with translational research in neonatal care, transplant immunology, and emerging biomedical technologies such as nanomedicine. Furthermore, his communication abilities enable him to engage effectively with the public, raising awareness about the importance of blood donation and ensuring sustained community participation. By combining administrative acumen, technical expertise, and a strong capacity for scientific collaboration, Dr. Mazzoni exemplifies the profile of a physician-scientist committed to advancing both patient care and biomedical innovation.

Research Focus

The research activities led or supported by Dr. Mazzoni reflect a strong orientation toward translational innovation in transfusion medicine and transplantation. His work has involved participation in studies exploring the use of cord blood-derived red cells to prevent retinopathy of prematurity in neonates, representing a significant advancement in neonatal intensive care. He has also contributed to pioneering investigations into nanoparticle-assisted organ perfusion, a cutting-edge strategy aimed at improving organ preservation and viability in transplant surgery. His team has been engaged in the development of novel therapeutic interventions during the COVID-19 pandemic, particularly monoclonal neutralizing antibodies, underscoring his capacity to pivot toward urgent healthcare challenges. These diverse research areas illustrate his commitment to bridging laboratory innovation with clinical application. Overall, Dr. Mazzoni’s research focuses on interventions that directly enhance patient outcomes, improve transplant success, and expand the clinical potential of advanced transfusion practices.

Awards 

Throughout his career, Dr. Alessandro Mazzoni has received significant recognition for his leadership and contributions to transfusion and transplant medicine. In 2019, under his directorship, the AOUP’s Unit of Transfusion Medicine and Transplant Biology received a prestigious award at the Italian Transplant Network’s National Congress for an outstanding abstract focused on immunogenetic analysis in kidney transplantation. This recognition highlighted the scientific rigor and collaborative spirit of his team. The AOUP’s Bone Marrow Donor Center, closely affiliated with his unit, was honored by the Italian Bone Marrow Donor Registry (IBMDR) for achieving the highest donor registration index nationwide. This award underscored the effectiveness of his team’s outreach efforts and their commitment to expanding life-saving donation networks. These accolades collectively reflect Dr. Mazzoni’s dual strengths as both a clinician and a scientific leader whose initiatives produce measurable national impact.

Publication Top Notes

Title: Cord blood transfusions in extremely low gestational age neonates to reduce severe retinopathy of prematurity: results of a prespecified interim analysis of the randomized BORN trial
Year: 2024
Citation: 14

Title: In vitro regenerative effects of a pooled pathogen-reduced lyophilized human cord blood platelet lysate for wound healing applications
Year: 2024
Citation: 1

Title: Clinical and Virological Response to Convalescent Plasma in a Chronic Lymphocytic Leukemia Patient with COVID-19 Pneumonia
Year: 2022
Citation: 5

Title: Carboxymethyl Cellulose-Based Hydrogel Film Combined with Umbilical Cord Blood Platelet gel as an Innovative Tool for Chronic Wound Management: A Pilot Clinical Study
Year: 2022
Citation: 3

Conclusion

Based on the strength, originality, and clinical relevance of the researcher’s contributions—particularly they are exceptionally well-suited for recognition through the Best Research Article Award. Their research not only presents novel biological concepts but also successfully translates these into clinical protocols with direct implications for patient outcomes. This ability to bridge scientific innovation with practical application is a rare quality that enhances their candidacy. Furthermore, the researcher’s focus on vulnerable populations, such as premature neonates and patients requiring regenerative therapies, highlights the humanitarian value of their work. By demonstrating measurable impact in both research citations and clinical relevance, they embody the qualities of an award-winning investigator. With ongoing dedication, enhanced international collaborations, and a continued emphasis on high-impact clinical studies, the candidate’s future contributions are poised to evolve into landmark research that will significantly influence global standards of healthcare and biomedical practice.

Islam Heiba | Education Technology | Best Researcher Award

Published on by Computer Science Engineering

Dr. Islam Heiba | Education Technology | Best Researcher Award

Lecturer at British university | Egypt

Dr. Islam Mohamed Amin Heiba is a highly accomplished and well-rounded researcher and clinician whose expertise spans digital prosthodontics, CAD/CAM prosthetic design, and advanced Co-Cr framework fabrication. He skillfully bridges the gap between laboratory research and clinical application, ensuring that his innovations in prosthesis design have direct and meaningful impact on patient care and treatment outcomes. Beyond his technical proficiency, Dr. Heiba demonstrates strong academic leadership, mentoring students and colleagues while guiding research projects that emphasize evidence-based practice, clinical precision, and workflow efficiency. His body of work, including publications in high-impact international journals and participation in international workshops and collaborations, highlights his commitment to advancing knowledge in prosthodontics. By integrating cutting-edge technologies with rigorous research methodologies, he has established himself as a thought leader whose contributions influence both academic circles and clinical practice. His dedication to innovation, teaching, and mentorship positions him as an exemplary figure in the field.

Professional Profiles

Scopus | ORCID

Education

Dr. Islam Mohamed Amin Heiba holds a Ph.D. in Oral and Maxillofacial Prosthodontics, a Master’s degree in Oral and Maxillofacial Prosthodontics, and a Bachelor’s degree in Oral Medicine and Dental Surgery, all from Ain Shams University. His doctoral research focused on comparing different fabrication methods of Co-Cr frameworks in Kennedy Class I maxillary partial dentures, highlighting his expertise in advanced prosthetic design and laboratory innovation. Throughout his academic journey, he has demonstrated exceptional dedication to combining theoretical knowledge with practical clinical application, emphasizing digital dentistry, CAD/CAM design, and the adaptation of prosthetic frameworks. This strong educational foundation equips him to excel in both clinical practice and academic research, laying the groundwork for international collaborations and publications. His academic achievements reflect a commitment to advancing prosthodontics through innovation, evidence-based practices, and integration of modern technologies that enhance both patient outcomes and professional standards.

Experience

Dr. Heiba has extensive professional experience in clinical practice, academic teaching, and digital prosthetic design. He serves as a Lecturer in the Faculty of Dentistry at the British University in Egypt, focusing on removable prosthodontics and digital dentistry. In addition, he works as a Prosthodontist and CAD/CAM Designer at multiple dental centers, performing operative, fixed, and removable prosthodontics, and designing prosthetic frameworks using advanced CAD/CAM systems. Previously, he held a leadership role as General Manager, overseeing clinical operations and workflow efficiency. His experience spans clinical care, laboratory management, and mentoring students, combining hands-on expertise with administrative leadership. This diverse background has allowed him to bridge academic research with practical application, implement cutting-edge digital workflows, and contribute to the training of future dental professionals, positioning him as a versatile and respected figure in the field of prosthodontics.

Skills

Dr. Heiba possesses a robust set of skills that support both his clinical and academic work. He is proficient in removable and fixed prosthodontics, operative dentistry, endodontics, and advanced CAD/CAM prosthetic design. His problem-solving ability, team collaboration, and effective communication ensure seamless coordination in academic and clinical settings. He demonstrates expertise in digital workflow integration, laboratory management, and patient-centered care, enabling precise and efficient treatment planning. Additionally, he is highly skilled in computer literacy, including CAD/CAM software, Microsoft Office, and digital imaging systems, which supports both research and clinical innovation. These skills, combined with his teaching and mentorship capabilities, allow him to train students and colleagues in modern prosthodontic techniques while contributing to research projects and clinical excellence. His comprehensive skill set underscores his role as a leading professional in oral and maxillofacial prosthodontics.

Research Focus

Dr. Heiba’s research focuses on digital prosthodontics, CAD/CAM design, and the fabrication of Co-Cr partial denture frameworks. He investigates accuracy, adaptation, and retention of digitally fabricated prostheses, aiming to enhance clinical outcomes and patient satisfaction. His work bridges laboratory innovation with clinical application, addressing challenges in workflow efficiency, prosthetic precision, and material performance. He actively engages in international collaborations, scientific workshops, and advanced CAD/CAM training, integrating emerging digital technologies into prosthodontics. His publications in reputed journals, including the Journal of Prosthodontics and the Journal of Prosthetic Dentistry, highlight his contribution to evidence-based dental research. By focusing on digital and additive manufacturing technologies, Dr. Heiba contributes to the advancement of modern prosthodontics, improving both clinical practice and academic knowledge.

Awards 

Dr. Heiba has received recognition for his contributions to prosthodontics, digital dentistry, and academic excellence. His work has been published in international journals and he has participated in advanced workshops and scientific collaborations, demonstrating both innovation and professional commitment. He has been acknowledged for his leadership in clinical practice and academic instruction, mentoring students and peers while implementing state-of-the-art digital technologies. His awards and honors reflect his dedication to improving patient care, advancing research, and fostering professional development in prosthodontics. Through these accomplishments, Dr. Heiba has established himself as a recognized expert in oral and maxillofacial prosthodontics, contributing meaningfully to both the scientific community and dental practice.

Publication Top Notes

Title: Accuracy and surface roughness of Co-Cr partial denture frameworks with different digital fabrication methods
Journal: Journal of Prosthetic Dentistry
Citation: Heiba IM, Mohamed SL, Sabet ME. Accuracy and surface roughness of Co-Cr partial denture

Title: Effect of different digital technology on the adaptation and retention of Co‐Cr partial denture frameworks
Journal: Journal of Prosthodontics
Citation: Heiba IM, Mohamed Lotfy S, Rizk FN, Sabet ME. Effect of different digital technology on the

Conclusion

Dr. Islam Mohamed Amin Heiba is highly deserving of the Best Researcher Award because of his outstanding contributions to prosthodontic research, clinical innovation, and academic leadership. His pioneering work in digital dentistry and CAD/CAM prosthesis fabrication has not only advanced scientific knowledge but also set new standards for clinical excellence and patient care. By consistently integrating research findings into practical applications, Dr. Heiba ensures that innovations are translatable, impactful, and sustainable within both academic and clinical settings. His leadership in mentoring students, guiding research projects, and participating in international collaborations demonstrates his influence as a global educator and researcher. Recognizing Dr. Heiba’s achievements will honor his sustained contributions while supporting his continued growth as a leader in prosthodontic research, fostering innovation, and inspiring the next generation of dental professionals. His vision, expertise, and dedication position him as a transformative figure in oral and maxillofacial prosthodontics.

Ahsan Ali | Machine Learning | Best Researcher Award

Published on by Computer Science Engineering

Mr. Ahsan Ali | Machine Learning | Best Researcher Award

PhD Student at Tianjin University | Pakistan

Overall, Ahsan Ali emerges as a promising young researcher whose academic journey reflects both excellence and commitment to advancing the field of electrical power engineering. With a strong foundation laid through his master’s and bachelor’s degrees, he has already demonstrated the ability to translate theoretical knowledge into practical solutions. His expertise covers deep learning-based power quality disturbance classification, fault diagnosis in converters, power system protection, and renewable energy integration—areas that are of great importance in the current era of smart grids and sustainable power technologies. Beyond his academic pursuits, Ahsan has also gained valuable industrial exposure in sugar mills, cement factories, and large-scale power plants, which has enriched his applied perspective and problem-solving abilities. Furthermore, his active participation in IEEE activities, seminars, and conferences highlights his growing leadership potential. With sustained research productivity, strong collaborations, and a focus on impactful publications, Ahsan is well-prepared to become a leading figure in his domain.

Professional Profile

 Scopus 

Education

Ahsan Ali completed his Master’s degree in Electrical Power Engineering from Quaid-e-Awam University of Engineering, Science and Technology, Pakistan, with a strong academic record His master’s research was focused on the classification of power quality disturbances using advanced deep learning methods. The study addressed the increasing importance of reliable power system operation in modern electrical networks and explored the integration of Discrete Wavelet Transform and Multi-Resolution Analysis with one-dimensional convolutional neural networks. This work aimed to improve the accuracy of identifying and classifying disturbances such as sags, swells, harmonics, and transients that affect system reliability. He also earned a Bachelor of Electrical Engineering degree from the same institution. His undergraduate project involved modeling and simulating under-frequency relays for generator protection using MATLAB and Simulink, providing him with practical expertise in system reliability.

Experience

Ahsan Ali has developed a professional career in the field of electrical power systems through roles that combined technical responsibilities and applied industry learning. He worked as an Assistant Electrical Engineer at Khairpur Sugar Mills, where he supported the engineering team in resolving power disturbances, implementing protection schemes, and managing distribution systems. In a similar role at Rohri Cement Factory, he assisted in project planning and power management activities while ensuring smooth plant operations. He also gained valuable industrial training during internships at Zorlu Enerji Pakistan, where he observed wind turbine operations and grid station management, TNB Liberty Power Plant, where he studied combined cycle operations and turbine performance, and Jamshoro Power Company, where he familiarized himself with the functioning of large-scale thermal units. These experiences helped him build a strong foundation in energy production, distribution, and system reliability, combining both theoretical and practical aspects of electrical engineering in real environments.

Skills

Ahsan Ali possesses a wide range of technical and analytical skills that complement his academic and professional background in electrical engineering. He has advanced proficiency in MATLAB and Simulink for modeling, simulation, and analysis of power systems, as well as strong competence in programmable logic controller programming for industrial automation and protective arrangements. His expertise covers power system analysis, electrical distribution engineering, fault protection, renewable energy integration, and the design and control of electrical machines and drives. He has applied these skills in both academic research and industrial practice, focusing on optimizing system performance and ensuring reliability. Ahsan has also acquired certifications in advanced courses, including power system analysis, electrical distribution system engineering, and MATLAB applications. He completed specialized training in Typhoon HIL, gaining experience in power quality testing and power flow modeling. In addition, he has explored fields such as freelancing, WordPress, and graphic design to diversify his professional capabilities.

Research Focus

Ahsan Ali’s research focus centers on power system reliability and advanced diagnostic methods for modern electrical networks. His interests include fault diagnosis of high-power electronic converters, stability analysis, and the integration of renewable energy systems into existing grids. He has also worked extensively on the classification of power quality disturbances through the application of deep learning algorithms, which represents a significant contribution to intelligent power system monitoring. His publications highlight his dedication to advancing the field, with studies on PQD detection techniques, microgrid design for seaport operations, and classification models for system optimization. His research reflects a balance between theoretical development and applied engineering, addressing the challenges posed by distributed generation, energy transitions, and increasing demand for sustainable technologies. Through his projects, Ahsan has emphasized the importance of integrating artificial intelligence and machine learning into power systems to enhance fault detection, predictive maintenance, and operational decision-making.

Awards 

Ahsan Ali has earned recognition for his academic excellence, research contributions, and active participation in professional activities. He has received certificates of appreciation for organizing technical events and webinars, including recognition for his performance during the COVID-19 period, when he contributed to academic engagement through virtual platforms. He participated in poster competitions on power system fault diagnosis and was acknowledged by the IEEE QUEST Chapter for his contributions. His involvement in seminars and workshops includes presenting research on power quality disturbances classification and generator protection at national and institutional conferences, where he shared findings with peers and faculty. He has also attended multiple training programs and short courses related to industrial safety, renewable progress, technical writing, and research management. These experiences have strengthened his academic and professional profile. As an associate member of IEEE, Ahsan has demonstrated his commitment to professional growth and engagement with the global engineering community.

Publication Top Notes

Title: Comprehensive review of power quality disturbance detection and classification techniques
Journal: Computers and Electrical Engineering, Vol. 126, Article 110512

Title: Design and Analysis of Seaport Microgrid with Ship Loads
Journal: Proceedings of IEEE China International Youth Conference on Electrical Engineering (CIYCEE), Wuhan, China

Title: Power Quality Disturbances (PQDs) Classification Analyzed Based on Deep Learning Technique
Journal: Journal of Computing and Biomedical Informatics, Vol. 4, Issue 1

Title: Comparative Analysis of the PWM and SPWM on Three-Phase Inverter through Different Loads and Frequencies
Journal: Journal of Computing and Biomedical Informatics, Vol. 4, Issue 2, pp. 204–220

Conclusion

Ahsan Ali is a highly suitable and deserving candidate for the Best Researcher Award in Electrical Power Engineering, given the scope and relevance of his contributions. His research consistently bridges theoretical frameworks with real-world applications, particularly in areas such as power system reliability, renewable energy, and advanced control methods. These contributions underscore his ability to design innovative solutions that can enhance system stability and sustainability. Although there remains room for growth in terms of expanding his global research impact, securing patents, and publishing in more high-impact journals, his current record already reflects a blend of academic excellence and professional dedication. His consistent engagement with international conferences and reputed journals highlights his growing presence in the research community. With his career trajectory, it is evident that he embodies the qualities of an emerging researcher whose work contributes not only to scientific advancement but also to practical technological development, making him an ideal award recipient.