Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

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Dr. Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

Researcher | Bahir Dar University | Ethiopia

Dr. Eshetu Haile Gorfie is an accomplished academic and researcher with extensive experience in teaching, research, and academic leadership within the field of mathematics. His professional experience spans undergraduate and postgraduate instruction, supervision of MSc and PhD researchers, curriculum coordination, and leadership roles such as department head and program coordinator. His research interests focus on fluid dynamics, magnetohydrodynamics, nanofluid flow, differential equations, numerical methods, and heat and mass transfer phenomena. He possesses strong research skills in mathematical modeling, analytical and numerical analysis, scientific computing, and scholarly publishing, with contributions to high-impact international journals. His awards and honors recognize excellence in teaching, conference leadership, and academic service. Overall, his work demonstrates sustained impact through research productivity, mentorship, and institutional contribution.He has acheived  357 Citations, 19 Documents, 9 h-index.

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Zhen Guo | Automotive Robotics | Research Excellence Award

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Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

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Swati Mukhopadhyay | Automobile Engineering | Research Excellence Award

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Prof. Swati Mukhopadhyay | Automobile Engineering| Research Excellence Award

The University of Burdwan  |  India

Prof. Swati Mukhopadhyay is a leading mathematics researcher known for influential work in fluid mechanics, nanofluid dynamics, and heat-mass transfer, supported by strong analytical, computational, and modeling skills. Her extensive publications, global collaborations, and numerous international recognitions highlight her impact on advanced transport phenomena research. She has achieved 5,847 Citations ,169 Documents,  h-index 45.

 

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Featured Publications


Insight into the Forced Convective Radiative Stefan Flow of Nanofluid over an Unsteady Stretched Sheet

– International Journal of Computational Materials Science and Engineering, 2026


Insight into the Forced Convective Radiative Stefan Flow of Nanofluid over an Unsteady Stretched Sheet

– International Journal of Computational Materials Science and Engineering, 2026

Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

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Ms. Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Doctoral Researcher  |  Kocaeli University  |  Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated doctoral researcher whose academic journey is strongly rooted in cutting-edge technologies for electric vehicles, smart energy systems, and intelligent power electronics. She has cultivated significant professional experience through her active involvement in research addressing real-world problems such as electric vehicle charging optimization, grid-integrated charging infrastructures, and advanced modeling of power converter systems. Throughout her career, she has contributed to impactful scientific studies focusing on induction heating systems, charging time prediction using deep learning, and data-driven forecasting on electric vehicle adoption and infrastructure planning. Her research interests include electric vehicle technologies, charging station design, renewable-integrated smart grids, artificial intelligence–based energy forecasting, machine learning and deep learning applications in power systems, and IoT-enhanced smart mobility frameworks. She possesses strong research skills in Python-based deep learning toolkits, MATLAB/Simulink, DigSilent PowerFactory modeling, statistical evaluation metrics, time-series forecasting, optimization algorithms, and performance analysis of intelligent systems. She has published multiple peer-reviewed articles in international SCI/Scopus-indexed journals, delivering innovative research outcomes that offer comprehensive and practical solutions for the sustainable development of electric transportation. Her research achievements include proposing an intelligent deep learning–based framework for EV charging time prediction, integrating spatial–temporal mobility parameters, and enhancing operational efficiency for fast-charging infrastructures. Her work stands out for its interdisciplinary approach and technological significance, supporting the transition toward cleaner mobility, optimized charging networks, and smart energy management. In addition to research excellence, she continues to contribute to academic and scientific communities through conference participation, collaborations, and knowledge dissemination. She aims to advance secure, intelligent, and scalable charging automation systems that support next-generation autonomous electric mobility. Her long-term vision is to shape energy-efficient transportation ecosystems, reduce environmental impacts, and contribute to the global sustainability agenda through innovation and scientific leadership. She has achieved  3 Citations , 2 Documents,  1 h-index.

Featured Publications

Yapıcı, A. T., & Abut, N. (2025, November 23). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences.

Yapıcı, A. T., Abut, N., & Yıldırım, A. (2025, October 27). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences.

Yapıcı, A. T., & Abut, N. (2025, August 21). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi.

Yapıcı, A. T., Abut, N., & Erfidan, T. (2025, April 11). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies.

Yapıcı, A. T., & Abut, N. (2024, September 15). Elektrikli araç şarj istasyonu konum tasarımında, Digsilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science.

Ayşe Tuğba Yapıcı’s research advances intelligent and sustainable electric mobility by integrating deep learning, smart grid technologies, and IoT-based predictive frameworks to optimize charging infrastructure and energy management. Her work supports the transition toward autonomous electric transportation, reducing environmental impacts, improving urban mobility planning, and contributing to global innovation in smart energy systems. She envisions scalable, reliable, and human-centered smart mobility ecosystems that accelerate the adoption of clean transportation worldwide.

Xiaokai Chen | Automobile Engineering | Editorial Board Member

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Assoc. Prof. Dr. Xiaokai Chen | Automobile Engineering | Editorial Board Member

Research Team Leader | Kunming University of Science and Technology | China

Assoc. Prof. Dr. Xiaokai Chen is an accomplished associate professor whose work centers on environmental health and safety in automobile cabins, contributing significantly to advancements in indoor air quality control, vehicle cabin pollution assessment, and the development of intelligent purification and safety systems for transportation environments. His professional experience includes long-term research and teaching in heating, ventilation, and air-conditioning (HVAC) engineering, where he has led multiple scientific projects, secured patents on innovative air-purification and disinfection technologies, and produced influential publications spanning air-pollution exposure, vehicle-cabin ventilation optimization, and safety-oriented engineering design. His research interests focus on vehicular environmental safety, pollutant behavior in transportation microenvironments, ventilation and purification system design, and risk assessment models for airborne contaminants affecting drivers and passengers. He demonstrates strong research skills in experimental testing, HVAC system design, pollutant detection and modeling, vehicle-cabin environmental analysis, and safety-oriented engineering optimization. His portfolio also showcases achievements such as contributing to monographs and textbooks, advising students who earned competitive academic recognitions, and guiding graduate researchers into industry sectors including construction, rail, quality supervision, and automotive manufacturing. In addition, he has provided extensive academic and social service as a technical expert in automotive research institutions, a member of key engineering societies, a reviewer for high-impact international journals, and an evaluator for national research foundations and academic competitions. His awards and honors reflect his contributions to technology innovation, student mentorship, research excellence, and professional service, reinforcing his reputation as a dedicated scholar promoting healthier and safer vehicular environments. Overall, his work bridges engineering innovation and public well-being, offering impactful solutions to real-world environmental health challenges in modern transportation systems, while sustaining active engagement in academic, industrial, and societal development. He has achieved 514 Citations, 14 Documents, 8 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

1.Feng, L., Xuan, Z., Zhao, H., Bai, Y., Guo, J., Su, C., & Chen, X. (2014). MnO₂ prepared by hydrothermal method and electrochemical performance as anode for lithium-ion battery. Nanoscale Research Letters, 9(1), 290. Citations: 239.

2. Xu, B., Chen, X., & Xiong, J. (2018). Air quality inside motor vehicles’ cabins: A review. Indoor and Built Environment, 27(4), 452–465. Citations: 141.

3. Chen, X., Zhang, G., Zhang, Q., & Chen, H. (2011). Mass concentrations of BTEX inside air environment of buses in Changsha, China. Building and Environment, 46(2), 421–427. Citations: 80.

4. Chen, X., Feng, L., Luo, H., & Cheng, H. (2014). Analyses on influencing factors of airborne VOCs pollution in taxi cabins. Environmental Science and Pollution Research, 21(22), 12868–12882. Citations: 52.

5. Feng, L., Xuan, Z., Bai, Y., Zhao, H., Li, L., Chen, Y., Yang, X., Su, C., Guo, J., et al. (2014). Preparation of octahedral CuO micro/nanocrystals and electrochemical performance as anode for lithium-ion battery. Journal of Alloys and Compounds, 600, 162–167. Citations: 38.

The nominee’s research advances scientific understanding of vehicle-cabin air quality and battery-material performance, addressing critical challenges in public health, environmental protection, and energy storage. His work supports cleaner transportation environments and contributes to the development of safer, more sustainable automotive technologies. Through impactful publications and applied innovation, his research drives progress at the intersection of engineering, society, and global well-being.

 

 

Nashir Umirov | Automobile Awards | Editorial Board Member

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Assoc. Prof. Dr. Nashir Umirov | Automobile Engineering | Editorial Board Member

Associate Professor | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University | Uzbekistan

Assoc. Prof. Dr. Nashir Umirov is an accomplished engineering researcher and academic leader whose work advances the performance, reliability, and thermodynamic behavior of tractors, automobiles, and grain-processing machinery, with a focus on strengthening agricultural mechanization technologies for modern industry. His professional experience spans extensive teaching, research supervision, and applied engineering work, including several years of scientific and editorial engagement that support the development, evaluation, and dissemination of technical innovations. His research interests center on thermal and dynamic properties of vehicles, efficiency enhancement of automotive systems, and the mechanics of grain-crushing processes in industrial crushers, complemented by strong analytical skills in experimental testing, performance modeling, mechanical system optimization, and technology assessment. He has contributed to more than fifteen notable scientific publications and participated in two important research projects aimed at improving agricultural machine operations and advancing environmentally conscious engineering solutions. His research skills include experimental diagnostics, thermal analysis, vibration and dynamic modeling, mechanical system design, and result interpretation for system improvement. Although he is not affiliated with professional societies, he remains an active contributor to engineering scholarship and a committed mentor to emerging specialists. While awards and honors are not listed, his career reflects sustained professional impact and dedication to advancing engineering science. In conclusion, Nashir Umirov continues to enhance the scientific community through consistent research output, practical innovation, and a strong commitment to the evolution of mechanical engineering within the agricultural sector, reflecting the depth of his expertise and the relevance of his contributions to modern mechanization technologies.He has achieved 34 Citations, 14 Documents, 4 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Umirov, N., Abdurokhmonov, S., Ganiboyeva, E., & Alimova, Z. (2024). Thermal equilibrium of the tractor and vehicle engines’ cooling systems in agriculture technological processes. BIO Web of Conferences, 105, 05020. (5 citations)

Umirov, N., & Abdurokhmonov, S. (2022). On the de-aeration properties of radiators of the cooling system of engines of cars and tractors. Transportation Research Procedia, 63, 149–153. (5 citations)

Alijanov, D., Abdurokhmonov, S., & Umirov, N. (2020). Methods of regulating the work of units at irrigation pumping stations. IOP Conference Series: Materials Science and Engineering, 883(1), 012117. (5 citations)

Li, A., Sultanov, B., Sharipov, Z., & Umirov, N. (2021). Modelling the process of local application of manure under glass crops. IOP Conference Series: Earth and Environmental Science, 868(1), 012008. (4 citations)

Umirov, N., & Abdurokhmonov, S. (2021). Algorithm for calculating finned plate radiators for the cooling system of automobile and tractor engines. IOP Conference Series: Earth and Environmental Science, 868(1), 012002. (3 citations)

Nashir Umirov’s research strengthens agricultural mechanization by improving the thermal stability, efficiency, and reliability of vehicle and engine cooling systems essential for modern farming. His engineering innovations support sustainable agricultural productivity, reduced energy losses, and enhanced performance of critical agro-industrial machinery. His vision contributes to a future where smarter mechanical systems drive global food security and technological resilience.

Shavkatjon Abdurakhmonov | Automobile Engineering | Editorial Board Member

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Assoc. Prof. Dr. Shavkatjon Abdurakhmonov | Automobile Engineering | Editorial Board Member

Associate Professor | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University | Uzbekistan

Dr. Abdurakhmanov Shavkatjon Khasanovich is a distinguished Associate Professor and PhD scholar renowned for his significant contributions to the field of agricultural mechanization and thermal dynamics within mechanical engineering. Currently serving at the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, he has built a strong academic and research foundation focused on advancing the efficiency, performance, and sustainability of agricultural and automotive systems. His research interests span the thermal-dynamic properties of tractors and automobiles, as well as the optimization of grain crushing processes in crushers—critical areas that bridge agricultural engineering with energy efficiency and mechanical innovation. Over his academic career, Dr. Abdurakhmanov has actively participated in four major research projects and has contributed to over twenty peer-reviewed publications, demonstrating a robust commitment to applied research and practical engineering solutions. His professional experience includes teaching, mentoring, and conducting experimental studies on machine performance under varying operational conditions, thereby strengthening the technological framework for modern agricultural systems. With two years of editorial and research review experience, he brings analytical precision and scholarly rigor to the scientific community. His research skills encompass thermodynamic analysis, mechanical system design, process modeling, and equipment optimization for agricultural production. Dr. Abdurakhmanov’s dedication to advancing sustainable mechanization technologies has earned him recognition for his academic excellence and his role in driving innovation within Uzbekistan’s agricultural sector. His ongoing work continues to contribute to the modernization of agricultural machinery and the improvement of energy efficiency in mechanized systems, aligning with global goals for sustainable development and technological advancement.He has achieved 68 citations, 22 documents, 5h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Akhmetov, A., Botirov, R., & Abdurokhmonov, S. (2020). Mechanism for changing the rear axle clearance of a universal-tiller tractor. IOP Conference Series: Materials Science and Engineering, 883(1), 012125.

Umirov, N., Abdurokhmonov, S., Ganiboyeva, E., & Alimova, Z. (2024). Thermal equilibrium of the tractor and vehicle engines’ cooling systems in agriculture technological processes. BIO Web of Conferences, 105, 05020.

Umirov, N., & Abdurokhmonov, S. (2022). On the de-aeration properties of radiators of the cooling system of engines of cars and tractors. Transportation Research Procedia, 63, 149–153.

Abdurokhmonov, S., Alijanov, D., & Ismaylov, K. (2020). Forces affecting the grain movement in the working chamber of the rotary crusher. IOP Conference Series: Earth and Environmental Science, 614(1), 012110.

Alijanov, D., Abdurokhmonov, S., & Umirov, N. (2020). Methods of regulating the work of units at irrigation pumping stations. IOP Conference Series: Materials Science and Engineering, 883(1), 012117.

 

Dr. Abdurakhmanov Shavkatjon Khasanovich advances the understanding of thermal and mechanical processes in agricultural and automotive systems, contributing to improved efficiency and sustainability in machinery design. His work bridges engineering innovation with practical agricultural applications, enhancing productivity while reducing environmental impact—supporting global progress toward smarter, energy-efficient mechanization

Bao Xie | Electric Vehicles | Editorial Board Member

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Dr. Bao Xie | Electric Vehicles | Editorial Board Member

lecturer | Hefei University of Technology | China

Dr. Bao Xie is an accomplished researcher and lecturer specializing in Electrical Engineering with a strong academic foundation and extensive experience in renewable energy systems, grid-connected power generation, and inverter stability control. Currently serving as a lecturer and supervisor of master’s candidates at the Hefei University of Technology, he has established a solid reputation in the fields of power electronics, control theory, and grid integration of renewable energy sources. His research primarily focuses on the control and stability of renewable energy grid-connected power systems, addressing challenges related to weak grid conditions, harmonic resonance, and digital control of large-scale photovoltaic (PV) plants. Over the years, Dr. Xie has demonstrated exceptional technical acumen and problem-solving ability, contributing significantly to multiple national and provincial-level research projects, including the Anhui Provincial Natural Science Foundation and the National Key Research and Development Programs. His research skills encompass advanced modeling, control strategy design, resonance analysis, and power conversion optimization, supported by a profound understanding of grid dynamics and inverter interactions. Dr. Xie’s scholarly contributions include over 60 publications in prestigious journals such as IEEE Transactions on Energy Conversion, IET Power Electronics, and International Journal of Electrical Power and Energy Systems, showcasing innovative approaches to improving grid stability and renewable integration. His dedication to academic excellence has earned him recognition as a promising figure in the next generation of electrical engineers, with his work offering impactful insights for sustainable and intelligent energy systems. Through his continuous pursuit of innovation, collaboration, and mentorship, he exemplifies the integration of theory and practical engineering for real-world energy applications. He has achieved 653 Citations, 61 Documents, 15h-index.

Profile:   Scopus

Featured Publications 

  1. Xie, B., Zheng, W., Li, P., Shi, Y., & Su, J. (2025). Stability analysis and admittance reshaping for PQ inverters with different power control methods. International Journal of Electrical Power and Energy Systems.

  2. Xie, B., Zhang, Q., Liu, T., Zhou, L., & Hao, G. (2025). Research on multi-model LQR control strategy for grid-connected inverters under weak grid. Electric Power Systems Research.

  3. Xie, B., Guo, K., Mao, M., Zhou, L., Liu, T., & Zhang, Q. (2025). Optimization of energy storage capacity of village-level microgrid considering the orderly charging of electric vehicles. Sustainable Energy Grids and Networks.

  4. Xie, B., Zhou, L., Liu, T., Zhang, Q., & Hao, G. (2025). Topology and control method of interleaved parallel DC/DC converters with ripple compensation for fuel cell applications. Journal of Power Electronics.

  5. Xie, B., Mao, M., Liu, T., Zhou, L., & Zhang, Q. (2025). State prediction consistency secondary control strategy for microgrids with adaptive virtual impedance. Dianji Yu Kongzhi Xuebao (Electric Machines and Control).

    Dr. Bao Xie’s research advances the stability, efficiency, and intelligence of renewable energy integration within modern power grids. His innovative control strategies for inverters and microgrids foster sustainable energy transitions and resilient smart grid infrastructures. Through interdisciplinary research bridging academia and industry, his work supports global innovation in clean energy technologies and digital power systems.

Rasool Ghobadian | Automobile Engineering | Best Researcher Award

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Prof. Dr. Rasool Ghobadian | Automobile Engineering | Best Researcher Award

University Professor  |  Razi university  |  Iran

Dr. Rasoul Ghobadian is a distinguished academic and researcher in the field of water engineering, specializing in advanced hydraulics, sediment transport, flood modeling, and computational hydraulics. As a professor at the Department of Water Engineering, Faculty of Agriculture, Razi University of Kermanshah, he has contributed extensively to both academia and industry through innovative research, design expertise, and teaching excellence. His professional experience spans over two decades, including collaboration with leading consulting firms such as Saman Abraha Tose, Alborz Studies, and Dezab Consulting Engineers, where he participated in large-scale irrigation and hydraulic infrastructure projects involving surface irrigation networks, diversion dams, and intake systems. Dr. Ghobadian’s research integrates theoretical modeling with practical applications, focusing on seepage loss estimation, flood routing, and the hydraulic performance of river confluences and hydraulic structures, with publications in reputed international journals such as Journal of Hydrologic Engineering, Water SA, and Alexandria Engineering Journal. His expertise encompasses computational fluid dynamics, numerical modeling, and water resource system design. Recognized for his excellence, he has received multiple awards including Best Researcher and Exemplary Teaching Professor from the Faculty of Agriculture and the Department of Water Engineering. His research has greatly influenced sustainable water resource management and hydraulic engineering education. Dr. Ghobadian’s scholarly achievements continue to advance the global understanding of hydraulic systems and water infrastructure optimization. He has achieved 136 Citations,  30 Documents, 6 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghobadian, R., & Bajestan, M. S. (2007). Investigation of sediment patterns at river confluence. [Unpublished study]. Citations: 51

  2. Ghobadian, R., & Mohammadi, K. (2011). Simulation of subcritical flow pattern in 180° uniform and convergent open-channel bends using SSIIM 3-D model. Water Science and Engineering, 4(3), 270–283. Citations: 35

  3. Ghobadian, R., & Meratifashi, E. (2012). Modified theoretical stage-discharge relation for circular sharp-crested weirs. Water Science and Engineering, 5(1), 26–33. Citations: 21

  4. Ghobadian, R. (2007). Investigation of flow, scouring and sedimentation at river-channel confluences. Ph.D. Thesis, Department of Hydraulic Structures, Shahid Chamran University of Ahvaz. Citations: 13

  5. Mobara, S. E. H., Ghobadian, R., Rouzbahani, F., & Đorđević, D. (2021). Numerical simulation of submarine non-rigid landslide by an explicit three-step incompressible smoothed particle hydrodynamics. Engineering Analysis with Boundary Elements, 130, 196–208. Citations: 12

Dr. Rasoul Ghobadian’s pioneering research in hydraulic and sediment transport modeling enhances the understanding of river dynamics, erosion, and flood management systems. His work bridges scientific innovation with engineering practice, contributing to the sustainable design of hydraulic structures, water resource optimization, and disaster resilience for communities and industries worldwide.

 

Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

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Dr. Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Assistant Professor  | IEM Kolkata  |  India

Dr. Sreya Ghosh is an accomplished researcher and academic specializing in intelligent transportation systems, vehicular ad hoc networks (VANETs), and wireless communication technologies. Currently serving as an Assistant Professor in the Department of Computer Science and Engineering (AIML) at the Institute of Engineering and Management, Kolkata, she has contributed significantly to the advancement of AI- and ML-driven solutions for next-generation vehicular networks. Her doctoral research at Jadavpur University focused on the design of vehicular ad hoc networks with enhanced performance applicable to intelligent transportation systems, integrating machine learning and communication optimization techniques. Over the years, she has published several impactful research papers in reputed international journals such as Wiley and Springer, with notable works including intelligent sensing-based resource allocation in 5G-V2X networks, RSU deployment optimization using complex network analysis, and enhanced routing algorithms for energy-efficient vehicular communication. Dr. Ghosh has also presented her research at numerous IEEE conferences, contributing to the development of algorithms for CO₂ emission reduction, cooperative caching, and congestion mitigation in smart cities. Her research interests span sensor networks, AI/ML applications, natural language processing, IoT, and algorithm design, with a strong emphasis on sustainable intelligent mobility. She possesses advanced technical skills in Python, PyTorch, Keras, MATLAB, and C, enabling her to develop and simulate intelligent systems effectively. She has been awarded prestigious fellowships, including the CSIR Senior Research Fellowship and the UGC UPE Fellowship, in recognition of her research excellence. Additionally, she has contributed as a reviewer for reputed IEEE and Springer journals and conferences and has organized academic events promoting innovation in computing and communication technologies. Her dedication to research and academic excellence reflects her commitment to advancing intelligent systems for societal benefit. She has achieved 61 Citations,   11 Documents, 5 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Optimal RSU deployment using complex network analysis for traffic prediction in VANET. Peer-to-Peer Networking and Applications, 16(2), 1135–1154. Citations: 18

  2. Ghosh, S., & Misra, I. S. (2020). Enhanced QoS performance with reduced route overhead by ant colony optimization algorithm for VANET. In 2020 IEEE Applied Signal Processing Conference (ASPCON) (pp. 237–241). IEEE. Citations: 10

  3. Ghosh, S., & Misra, I. S. (2017). Design and testbed implementation of an energy efficient clustering protocol for WSN. In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) (pp. 55–60). IEEE. Citations: 9

  4. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network. Transactions on Emerging Telecommunications Technologies, 34(6), e4764. Citations: 5

  5. Ghosh, S., Misra, I. S., & Chakraborty, T. (2022). Developing an application for intelligent transportation system for emergency health care. In 2022 IEEE Calcutta Conference (CALCON) (pp. 39–43). IEEE. Citations: 2

Dr. Sreya Ghosh’s research integrates artificial intelligence, wireless communication, and vehicular networking to build smarter, safer, and more sustainable transportation ecosystems. Her innovative work on RSU optimization, QoS enhancement, and energy-efficient network design contributes to the development of next-generation intelligent transportation systems that support traffic efficiency, environmental sustainability, and smart city evolution worldwide..