Ye Tao | Machine Learning | Best Researcher Award

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Dr. Ye Tao | Machine Learning | Best Researcher Award

PhD Student | China University of Petroleum, Beijing| China

Dr Ye Tao is a dedicated researcher focusing on sedimentology, unconventional oil and gas exploration, and the integration of artificial intelligence into geological studies. His work emphasizes fine characterization and sweet spot evaluation of shale gas reservoirs, tectonic evolution, sedimentary system reconstruction, and deepwater hydrocarbon accumulation models. Ye Tao has served as principal investigator and key researcher on multiple funded projects, including studies on shale reservoir heterogeneity in the Wufeng–Longmaxi Formations, tectonic evolution of the North Uscult Basin, and migration and accumulation mechanisms in the Guyana Basin. His expertise spans seismic data interpretation, fracture classification, mechanical modeling, and stress field simulation, contributing to accurate prediction of reservoir sweet spots and caprock sealing capacity. Ye Tao has actively published in peer-reviewed journals, presenting significant contributions such as deep learning-aided shale reservoir analysis, isotope-based sea-level reconstructions, and machine learning-based carbonate fossil recognition. His interdisciplinary approach bridges geology with computer vision and artificial intelligence, providing innovative methodologies for improving exploration accuracy. Ye Tao has been awarded multiple national and institutional prizes, including first prizes at China University of Petroleum’s Graduate Academic Forum and the National Doctoral Student Academic Forum, showcasing his academic excellence and leadership. His skillset includes seismic processing, petrographic thin section analysis, carbon and oxygen isotope testing, and restoration of paleoenvironments, enabling comprehensive understanding of sedimentary processes. By applying deep learning techniques to geological data, Ye Tao is contributing to next-generation exploration strategies that enhance prediction of hydrocarbon distribution and optimize resource development. His work demonstrates strong potential for advancing both theoretical sedimentology and applied petroleum exploration, making significant impact on energy resource evaluation and development strategies in complex geological settings.

Profile:  ORCID
Featured Publication

Tao, Y., Bao, Z., & Ma, F. (2025). Analyzing key controlling factors of shale reservoir heterogeneity in “thin” stratigraphic settings: A deep learning-aided case study of the Wufeng-Longmaxi Formations, Fuyan Syncline, Northern Guizhou. Applied Computing and Geosciences, 100293.

Tao, Y., Bao, Z., Yu, J., & Li, Y. (2025). The petrophysical characteristics and controlling factors of the Wufeng Formation–Longmaxi Formation shale reservoirs in the Fuyan Syncline, Northern Guizhou. Geological Journal.

Tao, Y., Gao, D., He, Y., Ngia, N. R., Wang, M., Sun, C., Huang, X., & Wu, J. (2023). Carbon and oxygen isotopes of the Lianglitage Formation in the Tazhong area, Tarim Basin: Implications for sea-level changes and palaeomarine conditions. Geological Journal, 58, 967–980.

Tao, Y., He, Y., Zhao, Z., Wu, D., & Deng, Q. (2023). Sealing of oil-gas reservoir caprock: Destruction of shale caprock by micro-fractures. Frontiers in Earth Science, 10, 1065875.

Sultan Aldırmaz Colak | Privacy Protection | Best Researcher Award

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Assoc. Prof. Dr. Sultan Aldırmaz Colak | Privacy Protection | Best Researcher Award

Associate Professor| Kocaeli University| Turkey

Assoc. Prof. Dr. Sultan Aldırmaz Çolak has established an influential research career in applied mathematics, with particular emphasis on fractional calculus, functional analysis, operator theory, q-calculus, inequalities, optimization techniques, and mathematical modeling. The work integrates both theoretical and applied perspectives, contributing to the development of new mathematical structures and analytical approaches. A strong research presence is visible in fractional differential equations, fractional inequalities, and variational principles, where innovative methodologies are applied to solve complex problems in pure and applied sciences. Contributions extend to fractional operators with general kernels, quantum calculus, approximation theory, fixed point theorems, and applications of conformable fractional derivatives, reflecting versatility in addressing modern mathematical challenges. Publications highlight advances in inequalities of Hermite–Hadamard type, generalizations of classical results, and connections between fractional calculus and convexity theory. Beyond core mathematics, research interests also include mathematical programming, optimization problems, and algorithmic approaches, establishing bridges with computer science and applied engineering. Engagement in international collaborations has broadened the reach of this research, demonstrated through joint works published in reputed journals across mathematical sciences. The scientific output emphasizes originality in both problem formulation and solution strategies, making significant contributions to ongoing discourse in advanced calculus and related domains. Focus areas like generalized convex functions, applications of Jensen’s inequality, integral transforms, and iterative methods for nonlinear operators position this work at the interface of analysis, computation, and modeling. Active participation in editorial roles and peer review further indicates a commitment to advancing the discipline. Overall, the research achievements of Assoc. Prof. Dr. Sultan Aldırmaz Çolak represent a consistent pursuit of mathematical innovation with practical relevance across interdisciplinary boundaries. 486 Citations 54 Documents 11

Profile:  Google Scholar | Scopus | ORCID
Featured Publication

Authors unavailable. (2025). Physical layer security in RIS-aided communication systems: Secrecy performance analyses. Digital Signal Processing: A Review Journal.

Authors unavailable. (2025). A handover decision optimization method based on data-driven MLP in 5G ultra-dense small cell HetNets. Journal of Network and Systems Management. Citations: 3

Authors unavailable. (2025). Human respiration and motion detection based on deep learning and signal processing techniques to support search and rescue teams. Applied Sciences (Switzerland).

Authors unavailable. (2025). Target parameter estimation with ISAC-OTFS systems. Conference paper.

Authors unavailable. (2025). A comprehensive review on ISAC for 6G: Enabling technologies, security, and AI/ML perspectives. Review, Open Access. Citations: 1

Reham A. abdelwahab | Smart Cities | Best Researcher Award

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Dr. Reham A. abdelwahab | Smart Cities | Best Researcher Award

PhD| Cairo University | Egypt

Reham Ahmed Abdelwahab, Ph.D., is a sustainability-focused architect and project manager specializing in environmental design, energy modeling, and green building certification with over 14 years of expertise. Her research field centers on sustainable urbanism, microclimate assessment, and value engineering for optimizing urban and building design performance. She integrates advanced energy simulation tools such as IES VE, DesignBuilder, Envi-met, and Eddy3D to analyze thermal comfort, daylighting, ventilation, and energy efficiency at both building and city scales. Reham’s work contributes to improving resilience and cost-effectiveness in urban development by aligning design decisions with climate-responsive strategies and green certification requirements, including LEED, WELL, and ENV SP. She has led projects across Egypt, UAE, and KSA, focusing on CFD-based airflow studies, UTCI-based outdoor comfort evaluations, and mesoscale modeling for enhancing urban heat mitigation strategies. Her research emphasizes a data-driven approach to sustainable planning, integrating LCA tools like OneClick LCA and SimaPro to assess embodied carbon and lifecycle impacts. Reham applies value engineering techniques to landscape and architectural design parameters, enabling decision-makers to balance sustainability goals with economic feasibility. Her contributions extend to project management and multidisciplinary coordination, ensuring design compliance with international green standards. Through her Ph.D. thesis, she explores optimizing landscape design parameters to enhance urban comfort, energy savings, and climate resilience while providing practical frameworks for architects and planners. This research field bridges the gap between simulation-based analysis, green certification compliance, and real-world project implementation, making it highly relevant to sustainable development goals and future city planning. Her expertise drives innovation in urban performance simulation, resource efficiency, and occupant well-being.

Profile:  Scopus | ORCID
Featured Publication

Abdelwahab, R. A. (2025). The effective landscape design parameters with high reflective hardscapes: Guidelines for optimizing human thermal comfort in outdoor spaces by design – A case on hot arid climate weather. Computational Urban Science. citations 2

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

Published on by Computer Science Engineering

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.