Assoc. Prof. Dr. Naghi Rostami | Engineering | Best Researcher Award
Faculty of Electrical and Computer Engineering | University of Tabriz | Iran
Dr. Naghi Rostami is an accomplished academic and researcher in electrical power engineering, currently serving as Associate Professor and Head of the Electric Power Engineering Department at the University of Tabriz, Iran, where he has held leadership responsibilities from 2018 to 2024. He completed his B.Sc. in Electrical Engineering at K. N. Toosi University of Technology in 2006, his M.Sc. at the University of Tehran in 2008, and earned his Ph.D. from the University of Tabriz in 2013. He also gained international exposure through a research opportunity at Lappeenranta University of Technology, Finland, in 2012 under the supervision of Prof. Juha Pyrhönen. His primary research interests include permanent magnet machine design, particularly axial flux and radial flux configurations, hybrid electric vehicle energy management, modeling and optimization of electrical machines, and the integration of renewable energy systems with electric vehicles and storage technologies. Dr. Rostami’s research skills span analytical and numerical design methods, genetic algorithms, particle swarm optimization, and advanced co-simulation approaches, which he has applied to the design and performance improvement of permanent magnet machines and energy systems. He has an impressive record of publications in reputable journals such as IEEE Transactions on Magnetics, IET Electric Power Applications, Sustainable Cities and Society, and COMPEL, with many works indexed in Scopus and IEEE Xplore. His Google Scholar profile records more than 1,500 citations with an H-index of 19, highlighting the international recognition of his work. While his CV does not list specific awards and honors, his achievements in leadership, international collaborations, and sustained scholarly contributions stand as testaments to his professional excellence. In conclusion, Dr. Rostami is a dedicated scholar whose expertise, impactful publications, and leadership in academia and research make him a strong candidate for recognition through distinguished awards and honors in the field of electrical power engineering.
Profiles: Google Scholar | LinkedIn | ResearchGate
Featured Publications
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Jalilzadeh, T., Rostami, N., Babaei, E., & Maalandish, M. (2018). Nonisolated topology for high step-up DC–DC converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 137–150.(Cited 137 times)
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Rostami, N., Feyzi, M. R., Pyrhonen, J., Parviainen, A., & Niemela, M. (2012). Lumped-parameter thermal model for axial flux permanent magnet machines. IEEE Transactions on Magnetics, 49(3), 1178–1184.(Cited 136 times)
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Zeynali, S., Rostami, N., Ahmadian, A., & Elkamel, A. (2020). Two-stage stochastic home energy management strategy considering electric vehicle and battery energy storage system: An ANN-based scenario generation methodology. Sustainable Energy Technologies and Assessments, 39, 100722.(Cited 104 times)
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Marzang, V., Hosseini, S. H., Rostami, N., Alavi, P., & Mohseni, P. (2020). A high step-up nonisolated DC–DC converter with flexible voltage gain. IEEE Transactions on Power Electronics, 35(10), 10489–10500.(Cited 96 times)
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Zeynali, S., Rostami, N., & Feyzi, M. R. (2020). Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering uncertainties. International Journal of Electrical Power & Energy Systems, 119, 105885.(Cited 93 times)
Prof. Quan Zhou | Energy | Best Researcher Award
Full Professor | Hunan University | China
Prof. Quan Zhou is a leading academic and Full Professor at Hunan University, China, with a strong background in power systems, communication technologies, and cyber-physical system resilience. He obtained his Ph.D. in Electrical Engineering from the Illinois Institute of Technology in 2019, where his research focused on resilient and distributed control strategies for hybrid AC/DC microgrids, laying the foundation for his pioneering contributions to next-generation smart energy systems. His professional journey includes extensive international research experience and collaborations with globally recognized scholars, resulting in more than 70 publications in top-tier journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, and IEEE Communications Surveys and Tutorials, collectively earning him over 2,800 citations, 2,469 citing documents, and an h-index of 31. His current research interests center on satellite Internet applications in modern power systems, integrated satellite-terrestrial communication frameworks, secure terminal access technologies, and coordinated communication-control mechanisms for resilient and sustainable grids. Prof. Zhou possesses advanced research skills in distributed control, cyber-security for energy systems, satellite communication design, and predictive modeling for energy management. In recognition of his scholarly excellence, he has been invited to deliver lectures at Stanford University, the Chinese Academy of Engineering, and several international conferences, while also serving as Associate Editor for IEEE Transactions on Smart Grid and Special Issue Editor for leading journals in power and energy systems. His professional honors include multiple Best Reviewer Awards from IEEE journals and prestigious fellowships such as the Paul D. McCoy Family Fellowship. A Senior Member of IEEE and an active contributor to task forces and editorial boards, Prof. Zhou combines technical innovation with leadership, mentoring, and community service. With his outstanding academic contributions, international recognition, and vision for advancing secure, intelligent, and sustainable energy infrastructures, he exemplifies the qualities of a best researcher deserving of global recognition.
Profiles: Google Scholar | Scopus
Featured Publications
Zhang, Z., Ding, T., Zhou, Q., Sun, Y., Qu, M., Zeng, Z., Ju, Y., Li, L., Wang, K., & Chi, F. (2021). A review of technologies and applications on versatile energy storage systems. Renewable and Sustainable Energy Reviews, 148, 111263.
Zhou, Q., Shahidehpour, M., Paaso, A., Bahramirad, S., Alabdulwahab, A., & Abusorrah, A. M. (2020). Distributed control and communication strategies in networked microgrids. IEEE Communications Surveys & Tutorials, 22(4), 2586–2633.
Zhou, Q., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. M. (2020). A cyber-attack resilient distributed control strategy in islanded microgrids. IEEE Transactions on Smart Grid, 11(5), 3690–3701.
Shao, C., Feng, C., Shahidehpour, M., Zhou, Q., Wang, X., & Wang, X. (2021). Optimal stochastic operation of integrated electric power and renewable energy with vehicle-based hydrogen energy system. IEEE Transactions on Power Systems, 36(5), 4310–4321.
Zhou, Q., Tian, Z., Shahidehpour, M., Liu, X., Alabdulwahab, A., & Abusorrah, A. M. (2019). Optimal consensus-based distributed control strategy for coordinated operation of networked microgrids. IEEE Transactions on Power Systems, 35(3), 2452–2462.
Mr. Kevin Patel | Engineering | Best Industrial Research Award
Quality Engineer – Lead | Futaba North America Engineering & Marketing Corp | United States
Kevin Patel is a research-driven quality innovation leader with over a decade of expertise in advanced automotive systems, high-reliability electronics, and cyber-physical manufacturing ecosystems, with a strong focus on AI-enhanced diagnostics, robotic automation, IoT-integrated quality informatics, and adaptive process control for next-generation industrial engineering. He earned his Bachelor of Engineering in Mechanical Engineering from Gujarat Technological University in 2017, followed by a Master of Engineering in Mechanical Engineering from the Illinois Institute of Technology, Chicago, in 2019, where he strengthened his foundations in design, manufacturing, and applied research. Professionally, he has contributed significantly across leading organizations including Futaba North America, Electronic Interconnect, Machined Products Co., and Hindustan Door Oliver, where he led initiatives in AI-driven defect detection, predictive scrap reduction, supplier quality systems, lean manufacturing, and digital process optimization. His research interests lie in the integration of artificial intelligence, IoT, and blockchain for predictive quality, defect prevention, and smart manufacturing ecosystems, with publications in reputed and indexed platforms covering topics such as self-healing production lines, generative quality networks, PCB optimization, and autonomous supplier ecosystems. He possesses strong research and technical skills including CAD and CAE tools (AutoCAD, SolidWorks, CATIA, Abaqus, Ansys), manufacturing quality tools (SPC, CAPA, DoE, DMAIC, Kaizen, GD&T), and advanced industry standards (ISO 9001, IATF 16949, AS9100). His certifications include IATF 16949/ISO 9001 Lead Auditor, Lean Six Sigma Green Belt, SolidWorks CSWA, and Autodesk AutoCAD Professional, reflecting his commitment to continuous professional growth. Kevin has also been recognized for his ability to bridge academic research with industrial application, authoring multiple Scopus and IEEE-indexed papers that demonstrate global relevance. With his multidisciplinary expertise, impactful publications, leadership roles, and future potential in advancing intelligent manufacturing, Kevin Patel stands out as an outstanding candidate for recognition, embodying both academic rigor and industrial innovation.
Profile: ORCID
Featured Publications
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Patel, K. (2025). AI-driven defect detection in PCB manufacturing: A computer vision approach using convolutional neural networks. European Journal of Advances in Engineering and Technology.
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Patel, K. (2025, July 29). AI+IoT+Blockchain triad for smart traceability in the automotive industry. International Journal of Research and Scientific Innovation.
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Patel, K. (2025, June 1). Agentic AI for self-healing production lines: Autonomous root cause analysis & correction. Journal of Information Systems Engineering and Management.
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Patel, K. (2025, June 1). Process optimization of multilayer PCB fabrication using statistical design of experiments (DoE). Journal of Information Systems Engineering and Management.
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Patel, K. (2025, April 12). Generative quality networks (GQNs): Leveraging GenAI to predict unprecedented defects in automotive manufacturing. International Journal of Science and Research (IJSR).
Prof. Homa Rasoolijazi | Medicine and Dentistry | Fast Cited Article Award
Researcher | Iran University of Medical Sciences | Iran
Dr. Homa Rasoolijazi, PhD, is a distinguished Professor at the Iran University of Medical Sciences, specializing in anatomical sciences and neuroscience with a strong focus on neurodegenerative diseases, neuroprotection, and aging research. She earned her PhD in Anatomical Sciences from Iran University of Medical Sciences (2007) following her MSc in Anatomy from Isfahan University of Medical Sciences (1995) and her BSc in Physiotherapy from Tehran University of Medical Sciences (1987). She also completed international research training as a pre-doctoral research associate at Linköpings University, Sweden, where she expanded her expertise in biomedicine and neuroanatomical methods. Professionally, she has served for decades as an educator, researcher, and mentor, teaching anatomy, neuroanatomy, and embryology to medical, PhD, and allied health students while also supervising research projects and contributing to international scientific forums. Her research interests lie in Alzheimer’s disease, Parkinson’s disease, cerebellar ataxia, neuroprotection through antioxidants, and the cellular mechanisms of brain aging. Her diverse research skills include advanced neuroscience methods such as HRP tracing, stereotaxic surgery, histological and immunohistochemical techniques, molecular biology methods including PCR and electrophoresis, tissue culture, and electron microscopy. She has authored and co-authored numerous research papers in high-impact journals indexed in Scopus, PubMed, and IEEE, as well as several academic books on anatomy and neuroanatomy in Persian, which are widely used in medical education. Her contributions have been recognized through active participation in national and international congresses, scientific editorial roles, and collaborative projects addressing key issues in neurodegeneration. She has further enriched the academic community by training the next generation of researchers and clinicians, while also engaging in community-oriented educational initiatives. In conclusion, Dr. Rasoolijazi’s outstanding academic background, long-standing professional service, significant publication record, and dedication to advancing neuroscience research and education position her as a highly accomplished scholar whose work continues to impact science, medicine, and society.
Profiles: Google Scholar | ORCID
Featured Publications
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Ghorbani, Z., Sani, M., Aghighi, Z., Moghaddam, M. H., Eskandari, N., Mohammadbagheri, E., Fathi, M., Shenasandeh, Z., Fotouhi, F., Abdollahifar, M. A., Salehi, M., Bayat, A. H., Meftahi, G. H., Aliaghaei, A., & Rasoolijazi, H. (2024). 3-acetylpyridine induced behavioral dysfunction and neuronal loss in the striatum and hippocampus of adult male rats. Annals of Anatomy – Anatomischer Anzeiger, 252, Article 152185.
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Eslami Farsani, M., Razavi, S., Rasoolijazi, H., Esfandiary, E., Seyedebrahimi, R., & Ababzadeh, S. (2023). Neuroprotective effects of rosemary extract on white matter of prefrontal cortex in old rats. Iranian Journal of Basic Medical Sciences.
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Sabaei, M., Rahimian, S., Ketabforoush, A. H. M. E., Rasoolijazi, H., Zamani, B., Hajiakhoundi, F., Soleimani, M., Shahidi, G., & Faramarzi, M. (2023). Salivary levels of disease-related biomarkers in the early stages of Parkinson’s and Alzheimer’s disease: A cross-sectional study. IBRO Neuroscience Reports, 14, 285-292.
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Bavi, S., Navazesh, A., Rasoolijazi, H., Zavvari, F., Soleimani, M., & Karimzadeh, F. (2023). Modulatory effect of exercise on reactive astrocytes in the somatosensory cortex of epileptic rats. Sport Sciences for Health, 1-8.
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Navazesh, A., Rasoolijazi, H., Rahmani, G., Bavi, S., Vahabzadeh, G., Soleimani, M., & Karimzadeh, F. (2023). Modulatory effect of neurotrophic factors on the TRPV1 expression: Possible mechanisms involved in the antiepileptic effect of exercise. Archives of Neuroscience, 10(1).
Ms. Nimra Mubeen | Agricultural and Biological Sciences | Pioneer Researcher Award
PhD Student | University of Veterinary and Animals Sciences | Pakistan
Nimra Mubeen is an emerging researcher in the field of Fisheries and Aquaculture, dedicated to advancing sustainable aquatic health through innovative scientific contributions. She is currently pursuing her Ph.D. (2021–2025) in Fisheries and Aquaculture at the University of Veterinary and Animal Sciences (UVAS), Lahore, focusing on the development of feed-based vaccines against Aeromonas spp. in culturable carps, after completing her M.Phil. (2021) and M.Sc. (2018) in the same discipline, both with distinction. She has served as a research associate on a Pakistan Science Foundation-funded project on the isolation and molecular characterization of fish pathogens and vaccine development, which allowed her to gain practical expertise and contribute to applied solutions for the aquaculture industry. Her research interests include fish immunology, aquatic disease diagnostics, vaccine development, aquaculture sustainability, molecular biology, and innovative feed formulations. She has strong technical skills in bacterial vaccine preparation, molecular identification of pathogens, immunological assays, microbial culturing, and nutritional interventions in aquaculture systems. Nimra has co-authored six peer-reviewed publications in Scopus and ISI-indexed journals such as Microorganisms and Aquaculture Research, a book chapter with CABI, and multiple abstracts in conference proceedings. She has also presented her work at national and international conferences in Pakistan and Turkey, reflecting her global scientific engagement. Her academic achievements include top positions in model competitions, poster presentation awards, and certifications from Elsevier Researcher Academy, Wiley, and international aquaculture societies. With over 35 citations and an h-index of 3, her growing research footprint reflects her academic impact. She is actively involved in organizing scientific seminars, workshops, and World Fisheries Day activities, showcasing her leadership and community engagement. In conclusion, Nimra Mubeen’s blend of academic excellence, innovative research, technical expertise, and international collaboration makes her a promising young scientist and a deserving candidate for recognition through the Pioneer Researcher Award.
Profile: ORCID
Featured Publications
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Mubeen, N., Ashraf, M., Ahmad, S., Aslam, M. S., & Kalhoro, H. (2022). Growth performance and immune response of Labeo rohita fed with feed-based vaccine against Aeromonas hydrophila. Microorganisms, 10(9), 1852. [Citations: 15]
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Mubeen, N., Ashraf, M., Ahmad, S., Kalhoro, H., & Jabeen, F. (2022). Molecular identification and pathogenicity of Aeromonas hydrophila in major carps. Aquaculture Research, 53(13), 4761–4772. [Citations: 10]
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Mubeen, N., Ashraf, M., Ahmad, S., Kalhoro, H., & Memon, A. (2021). Vaccine development approaches against bacterial pathogens in aquaculture. Pakistan Journal of Zoology, 53(5), 1767–1774. [Citations: 5]
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Mubeen, N., Ashraf, M., & Ahmad, S. (2021). Application of immunostimulants in aquaculture health management: A review. Turkish Journal of Fisheries and Aquatic Sciences, 21(9), 447–456. [Citations: 3]
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Mubeen, N., & Ashraf, M. (2020). Fish health management through probiotics in aquaculture: A sustainable approach. Journal of Fisheries Sciences, 14(2), 81–89. [Citations: 2]
Dr. Ashish Gome | Chemical Engineering | Best Academic Researcher Award
Associate Professor | Prashanti Group of Institutes | India
Dr. Ashish Gome is an accomplished academician, researcher, and educational leader with more than twenty-two years of combined experience in academia, administration, and environmental consultancy. He earned his Ph.D. in Chemical Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal in 2016, focusing on the application of ozone for pharmaceutical wastewater treatment, after completing his M.Tech. in Chemical Engineering with specialization in Environmental Management in 2005 and his B.E. in Chemical Engineering in 2000. Professionally, he has served as Dean Academics & Administration at Prashanti Group of Institutes, Ujjain, Associate Professor and Head of Department at Shri Guru Sandipani Institute of Technology & Science, and Academic Coordinator at Vikram University, while also contributing as an Environmental Consultant at AM Ozonics Ltd., Mumbai. His research interests center on advanced wastewater treatment technologies, ozonation processes, environmental management, and sustainable engineering solutions. Dr. Gome possesses strong research skills in experimental design, chemical kinetics, ozonation applications, biodegradability assessment, and simulation studies, reflected in his publications in reputed international journals including Springer, Scopus-indexed outlets, and environmental science journals. He has also delivered numerous presentations at national and international conferences and published collaborative works in environmental engineering. Among his academic honors, he qualified the prestigious GATE examination three times, secured All India Rank 8 in the University of Roorkee PG entrance in 2001, and has been invited as a distinguished speaker at global summits in Paris, Dubai, Prague, Osaka, Lisbon, and Helsinki, highlighting his growing international recognition. Additionally, he serves as a reviewer and editorial board member for international journals, and his Google Scholar profile records 39 citations with an h-index of 3. In conclusion, Dr. Ashish Gome has demonstrated exceptional leadership, research acumen, and academic contributions, making him a deserving candidate for recognition as a Best Academic Researcher with the potential to influence global advancements in environmental engineering and sustainable wastewater treatment.
Profile: ORCID
Featured Publications
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Gome, A., & Upadhyay, K. (2022). Removal of persistent chemical oxygen demand from pharmaceutical wastewater by ozonation at different pH. International Journal of Environmental Science and Technology.
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Gome, A., & Upadhyay, K. (2014). Impact of ozone dose on the removal of total solids from pharmaceutical wastewater. International Journal of Research in Chemistry & Environment, 4(3), 10–15.
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Gome, A., & Upadhyay, K. (2013). Effect of pH on the abatement of biochemical oxygen demand of pharmaceutical industry wastewater treated by ozone. International Journal of Advanced Research, 1(7), 416–422.
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Gome, A., & Upadhyay, K. (2013). Biodegradability assessment of pharmaceutical wastewater treated by ozone. International Research Journal of Environmental Sciences, 2(4), 21–25.
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Gome, A., & Upadhyay, K. (2012). Chemical kinetics of ozonation and other processes used for the treatment of wastewater containing pharmaceuticals: A review. International Journal of Current Research and Review, 4(22), 1–7.
Ms. Clara López Colom | Chemical Engineering | Best Researcher Award
PhD Student | Universitat Rovira i Virgili | Spain
Clara López Colom is an emerging researcher in chemical engineering with a strong academic and professional background that bridges research, teaching, and industry practice. She is currently pursuing a Ph.D. in Distillation Processes at Universitat Rovira i Virgili, Tarragona, Spain (2023–present), with her thesis focused on the valorization of carob through the production of spirits, under the joint supervision of Dr. Francisco López Bonillo and Dr. Juan José Rodríguez Bencomo. She holds a Master’s degree in Chemical and Process Engineering from the Karlsruher Institut für Technologie, Germany (2016–2019), where her thesis investigated the influence of pectin molecular structure and ion concentration on the gelation of pectin droplets, and a Bachelor’s degree in Chemical Engineering from URV, Spain (2011–2015), where she designed an ionic liquid production plant. Professionally, Clara has gained international experience as a Process Validation Specialist at NextPharma GmbH, Berlin, Germany, and as a Qualification and Validation Engineer at Ellab GmbH, Ravensburg, Germany, focusing on GMP compliance, process optimization, risk analysis, and technical documentation. She currently contributes to academia as an Assistant Professor at URV, teaching biotechnology, biochemical engineering, and chemical fundamentals, and has also presented her research at national conferences. Her research interests include distillation processes, biochemical engineering, process validation, and sustainable valorization of raw materials for industrial and food applications. Clara’s research skills encompass experimental design, process validation, risk assessment, data analysis (XLSTAT, SAP, ValSuite), and multilingual communication in Catalan, Spanish, English, and German. She has also enhanced her expertise through specialized courses in sensory analysis, consumer response evaluation, and alcohols, reflecting her growing involvement in oenology and food engineering. While early in her publication journey, Clara shows strong promise with active research dissemination and industry collaborations. Overall, her blend of academic training, international professional exposure, and interdisciplinary research positions her as a dedicated and impactful young researcher in chemical engineering.
Profile: ORCID
Featured Publication
- López-Colom, C., Andazola, J., Bargalló-Guinjoan, C., Rodríguez-Bencomo, J. J., & López, F. (2025). Chemical and sensory characterization of carob spirits according to different distillation systems. Beverages, 11(4), 119.
Assist. Prof. Dr. Akshatha P S | Engineering | Best Researcher Award
Senior Assistant Professor | New Horizon College of Engineering | India
Dr. Akshatha P. S is a Senior Assistant Professor in the Department of Artificial Intelligence and Machine Learning at New Horizon College of Engineering, Bengaluru, where she has established herself as a committed academician and an innovative researcher. She earned her Ph.D. in Computer Science and Engineering from Bangalore University in 2023, focusing her doctoral research on enhancing the security and reliability of MQTT protocols in IoT networks. With a strong educational foundation and passion for advancing technology, she has accumulated several years of professional experience in teaching, research, and academic coordination, mentoring students while contributing significantly to the growth of her institution. Her research interests span across Computer Networks, Internet of Things, Artificial Intelligence, secure communication systems, and blockchain integration, reflecting her dedication to solving real-world problems through emerging technologies. She possesses excellent research skills, demonstrated by her prolific output of over 49 publications in high-impact platforms including IEEE Q1 journals, Scopus-indexed conferences, and Springer book chapters, along with 12 patents filed in areas such as IoT, AI, and blockchain-based solutions. Beyond research and teaching, Dr. Akshatha has actively engaged in professional memberships with IEEE, ORCID, and Scopus, which highlight her academic presence, while her leadership in organizing workshops, delivering invited talks, and contributing to knowledge dissemination reflects her broader academic and societal impact. Recognized for her contributions, she has been honored with accolades in research and innovation, further strengthening her professional reputation. In conclusion, Dr. Akshatha P. S embodies the qualities of a forward-looking researcher and dedicated educator whose work bridges academia and industry, and with her growing global presence, research vision, and commitment to student development, she continues to emerge as an inspiring figure and a deserving candidate for prestigious recognitions and awards.
Featured Publications
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Akshatha, P. S., & Dilip Kumar, S. M. (2023). Analysis and evaluation of MQTT brokers for e-Healthcare applications. IEEE Transactions on Industrial Informatics.
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Akshatha, P. S., & Dilip Kumar, S. M. (2023). Context-aware enhancement of buffer utilization in MQTT-based IoT communication. International Journal of Communication Networks and Distributed Systems. (In press).
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Akshatha, P. S., Divyashree, S., & Dilip Kumar, S. M. (2023). Priority-enabled MQTT: A robust approach to emergency event messaging. Journal of Engineering and Applied Science, Springer. (In press).
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Akshatha, P. S., & Dilip Kumar, S. M. (2023). MQTT and blockchain sharding: An approach to user-controlled data access with improved security and efficiency. Blockchain: Research and Applications, Elsevier. (In press).
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Akshatha, P. S., Dilip Kumar, S. M., & Venugopal, K. R. (2022). MQTT implementations, open issues, and challenges: A detailed comparison and survey. International Journal of Sensors, Wireless Communications and Control, 12(8), 553–576.
Dr. Saurabh Kumar | Engineering | Best Researcher Award
Assistant Professor | IIMT University | India
Dr. Saurabh Kumar is an accomplished researcher in Civil and Environmental Engineering with a focus on water quality, corrosion monitoring, wastewater treatment, and sustainable engineering practices. He is currently serving as a Postdoctoral Researcher at Thammasat University, Thailand (July 2024 – June 2025). Prior to this, he worked as an Assistant Professor in the Department of Civil Engineering at IIMT University, Meerut, Uttar Pradesh, India (June 2023 – June 2024). His academic journey began with a B.Tech in Civil Engineering from Darbhanga College of Engineering, Bihar, under Aryabhatta Knowledge University (2013 – 2017), followed by an M.Tech in Environmental Engineering from the National Institute of Technology Patna (2018 – 2020). He pursued a Ph.D. in Environmental Engineering at NIT Patna, Ministry of Education, Government of India (2020 – 2023), where his research focused on “Monitoring and Modelling of Corrosion Rate in Drinking Water Distribution Network.” Dr. Kumar has a strong research profile, with publications in SCI, Scopus, and IEEE-indexed journals such as Environmental Science and Pollution Research, Journal of Materials Engineering and Performance, and Nature’s Scientific Reports. He has authored a book, contributed to book chapters with reputed publishers, and presented papers at multiple international conferences, including IEEE and Springer platforms. His work reflects the integration of conventional engineering with advanced tools such as machine learning for solving environmental challenges.
Publications
- Kumar Saurabh, Singh R., Maurya N.S., Water quality analysis and corrosion potential of the distribution network of Patna, Bihar, India. J. Environ. Eng. Sci., 2022, 17(4), 164–174. (ESCI)
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Kumar Saurabh, Singh R., Maurya N.S., Assessment of corrosion potential based on water quality index in the distribution network of urban Patna, Bihar, India. J. Nat. Environ. Pollut. Technol., 2022, 21(5), 2117–2127. (Scopus)
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Kumar Saurabh, Singh R., Maurya N.S., Raj V., Monitoring of the corrosion in the pipeline of the distribution network using weight loss method & image processing technique. J. Mater. Eng. Perform., 2022. (SCI)
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Kumar Saurabh, Singh R., Maurya N.S., Modelling of corrosion rate in the drinking water distribution network using Design Expert 13 software. Environ. Sci. Pollut. Res., 2023. (SCI)
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Rajeev R., Kumar Saurabh, Singh R., Monitoring of traffic noise pollution in urban Patna, Bihar, India. Noise Vib. Worldwide, 2023. (Scopus)
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Kumar P., Kumar Saurabh, Kumar M., Chaubey A., Nayak J., Groundwater flow and solute transport modelling: A mathematical analysis. Indian J. Environ. Prot., 2024, 44(3), 257–264. (Scopus)
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Shivam H., Sharma D., Bansal T., Pande R., Kumar Saurabh, Weesakul U., In-vessel bioconversion of garden waste into compost with an emphasis on process efficiency and compost quality. Eng. Appl. Sci. Res., 2025, 52(1), 105–111. (Scopus)
