Abhishek Saxena | Engineering | Best Faculty Award

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Dr. Abhishek Saxena | Engineering | Best Faculty Award

Dr. Abhishek Saxena, ITM University, Gwalior India

Dr. Abhishek Saxena is an accomplished academic leader and researcher in the field of electrical engineering, specializing in power systems and optimization. With a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal, Dr. Saxena has contributed significantly to the academic community through his work at ITM University, Gwalior. He is a recognized expert in the areas of restructured power systems and optimization methodologies, holding an international patent for his work in real-time computing and power management. His passion for education is reflected in his teaching roles and leadership, aiming to foster innovation and excellence. With a dedication to advancing knowledge in power systems, Dr. Saxena continues to guide and mentor students, researchers, and professionals in the field.

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Suitability for the "Research for Best Faculty Award" – Dr. Abhishek Saxena

Dr. Abhishek Saxena demonstrates exceptional academic and professional contributions that make him highly suitable for the "Research for Best Faculty Award." His vast body of work, which includes a Ph.D. in Electrical Engineering, several years of teaching experience, numerous published journal papers, conference papers, and a recent international patent, highlights his dedication to research excellence. As an Assistant Professor at ITM University since 2012, he has continually worked towards advancing the academic standards in the field of Electrical Engineering, particularly in Restructured Power Systems and Power System Optimization.

Dr. Saxena's research output is both diverse and significant. He has contributed extensively to peer-reviewed journals and conferences, with notable papers in highly regarded publications, such as Cogent Engineering and the International Journal of Electrical Engineering and Technology. His expertise in optimizing power markets and electricity pricing, demonstrated in his work on "Wheeling Prices" and "Congestion Management in Open Access Power," is cutting-edge. He has also been recognized for his innovative approach with the 2013 Best Researcher Award from ITM University and an international patent in 2024 for his innovation in real-time computing and power management.

Education

Dr. Abhishek Saxena holds a Ph.D. in Electrical Engineering from R.G.P.V., Bhopal (2025). He earned his M.E. in Industrial Systems and Drives from Madhav Institute of Technology and Science, Gwalior (2009), where he developed expertise in electrical systems. He completed his B.E. in Electrical Engineering from Maharana Pratap College of Technology, Gwalior (2006). His academic journey reflects a commitment to deepening his knowledge and advancing his research interests in restructured power systems and power optimization. Dr. Saxena's robust educational foundation has enabled him to make significant contributions to both academia and industry, fostering advancements in power systems and optimization.

 Professional Experience 

Dr. Saxena's professional career spans various roles in academia and industry. He is currently an Assistant Professor in the Electrical Engineering Department at ITM University, Gwalior, where he has been teaching since May 2012. Prior to this, he worked as a Lecturer at NRI Institute of Technology & Management, Gwalior (2008-2012). His professional experience also includes consulting as the Director of MMAH Online & Techno Key Private Limited, Gwalior since September 2023. His teaching experience is complemented by his contributions to research and innovation, particularly in power systems optimization. He has guided numerous students and collaborated on impactful research projects in the field of electrical engineering.

Awards and Recognition 

Dr. Abhishek Saxena has received several accolades for his academic and research achievements. Notably, he was honored with the Best Researcher Award in 2013 at ITM University, Gwalior, acknowledging his contributions to the field of electrical engineering. He has also qualified for prestigious exams such as GATE 2008 in the Electrical stream and OpenMAT 2009 for MBA entrance with an 'A' grade. His achievements extend to his work on international patents, including an innovative system for real-time computing and power management. Dr. Saxena’s commitment to advancing research and education in the field of power systems continues to earn him recognition from peers and industry leaders alike.

Research Skill On Engineering

Dr. Saxena’s research skills are focused on power systems optimization, restructured power systems, and dynamic pricing methodologies. His expertise includes the application of advanced computational techniques such as genetic algorithms, artificial neural networks, and deep reinforcement learning to optimize power systems. Dr. Saxena has significantly contributed to the development of wheeling pricing models and transmission pricing methodologies. His research is characterized by a strong analytical approach and a commitment to practical, real-world solutions for energy systems. He has published extensively in reputed journals and presented his work at international conferences, highlighting his proficiency in addressing complex challenges in the power sector. Dr. Saxena’s work continues to influence both academic research and industrial applications in power systems and optimization.

 Publication Top Notes

  • Title: Congestion management in open access—a review
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: International Journal of Science, Engineering and Technology Research, 2(4)
    Citations: 14
    Year: 2013

  • Title: Genetic algorithm based wheeling prices allocation for Indian power utility by using MVA-mile and MW-mile approaches
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: 2016 International Conference on Emerging Trends in Electrical Electronics
    Citations: 11
    Year: 2016

  • Title: DC-OPF based allocation of wheeling prices for varying contribution of producers and customers
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)
    Citations: 6
    Year: 2016

  • Title: ALLOCATION OF OPTIMIZED WHEELING PRICES THROUGH TRACING IN COMPETITIVE POWER MARKET
    Authors: A. Saxena, I.S.N. Pandey, I.L. Srivastava
    Citation: International Journal of Electrical Engineering and Technology, 12(2), 151–170
    Citations: 2
    Year: 2021

  • Title: Assessment of Incremental Cost and Reinforcement Timing for Uncertain Future Generation and Demand in Competitive Power Market
    Authors: A. Saxena, S.N. Pandey, L. Srivastava
    Citation: 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
    Citations: 2
    Year: 2020

  • Title: Wheeling Prices Methodology: A Review
    Authors: A. Saxena, A. Tripathi
    Citation: International Journal of Enhanced Research in Science, Technology & Engineering
    Citations: 1
    Year: 2014

  • Title: Metaphor-less Rao-3 and artificial neural network with parallel computing-based wheeling pricing in competitive power market
    Authors: A. Saxena, S.N. Pandey, S. Dixit
    Citation: Cogent Engineering, 11(1), 2340321
    Citations: —
    Year: 2024

  • Title: Wheeling Price Optimization And Allocation Using A Modified Rao-2 Algorithm In An Open Access Power Market Environment
    Authors: S.D. Abhishek Saxena, Seema N. Pandey
    Citation: NOVYI MIR Research Journal, 8(6), 61–71
    Citations: —
    Year: 2023

  • Title: Bacterial Foraging Particle Swarm Optimization based Wheeling Pricing Allocation through AF-mile and RF-mile approach
    Authors: A. Saxena, S.N. Pandey, S. Dixit
    Citation: 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
    Citations: —
    Year: 2023

  • Title: Genetic algorithm based wheeling prices assessment and allocation in hybrid power market
    Authors: L.S. Abhishek Saxena, Seema N. Pandey
    Citation: High Technology Letters, 27(2), 205–220
    Citations: —
    Year: 2021

AWAIS KHAN | Engineering | Best Researcher Award

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Assist. Prof. Dr. AWAIS KHAN | Engineering | Best Researcher Award

👤 Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, specializing in advanced control systems, renewable energy technologies, and interval observers. With a PhD in Control Theory and Control Engineering from South China University of Technology, Dr. Khan has made significant contributions to mechatronics and control engineering during his tenure as a Postdoctoral Research Fellow at Shenzhen University. His research is recognized for its innovative approach, particularly in the application of control systems in energy-efficient technologies. A prolific researcher and published author, Dr. Khan has been actively involved in securing research funding and publishing in top-tier journals. His passion for both teaching and research allows him to foster a dynamic learning environment for students while contributing to the advancement of technology in engineering and energy sectors.

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🌟 Summary of Suitability for the Research for Best Researcher Award

Awais Khan’s impressive academic background and research trajectory make him highly suitable for the Research for Best Researcher Award. He currently serves as an Assistant Professor at the Beijing Institute of Technology, where he leads cutting-edge research in advanced control systems, renewable energy technologies, and interval observers. His teaching excellence, combined with his groundbreaking research contributions, aligns well with the award’s criteria, which honors those making significant academic and technological advancements.

Awais Khan’s postdoctoral experience at Shenzhen University further solidifies his research prowess, particularly in mechatronics and control engineering. His work has been recognized in reputable journals, with a consistent record of impactful publications in high-impact platforms such as IEEE Transactions and the Journal of the Franklin Institute. He has demonstrated leadership in securing research funding and fostering interdisciplinary collaboration.

🎓   Education 

Dr. Awais Khan holds a PhD in Control Theory and Control Engineering from the South China University of Technology (2016–2020), where his research focused on interval observers and their applications to control theory. Prior to that, he earned a Master’s degree in Electrical Engineering from the University of Engineering and Technology (UET) Lahore (2014–2016). Dr. Khan’s academic journey began with a Bachelor of Science in Electronics Engineering from UET Peshawar (2009–2013), which laid the foundation for his expertise in engineering and control systems. Throughout his academic career, he has received several scholarships, including the prestigious Chinese Government Scholarship for his PhD studies. His educational background is complemented by his active participation in various research projects, workshops, and technical conferences, enabling him to stay at the forefront of advancements in control systems, renewable energy technologies, and energy-efficient engineering solutions.

💼   Professional Experience 

Since 2022, Dr. Awais Khan has been an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, where he teaches a range of courses, including C/C++, Probability & Statistical Analysis, Circuits & Electronics, and Physics. His role involves both delivering high-quality lectures and conducting groundbreaking research in advanced control systems, renewable energy, and interval observers. Prior to this, Dr. Khan was a Postdoctoral Research Fellow at Shenzhen University (2020–2022), where he worked on mechatronics and control engineering, developing innovative technologies in interdisciplinary research collaborations. His work on interval observers for nonlinear systems garnered attention, leading to publications in reputable journals. Dr. Khan has also contributed to National Natural Science Foundation of China projects, enhancing the understanding of control systems in uncertain environments. His teaching and research experience are central to his contributions to the field, shaping future engineers and advancing the integration of energy-efficient technologies.

🏅 Awards and Recognition 

Dr. Awais Khan has been recognized for his outstanding contributions to control systems and engineering through several prestigious awards and honors. Notably, he received the Best Presentation Award at the EECR in 2018, reflecting his excellence in research communication. His doctoral research, supported by the Chinese Government Scholarship, marked a milestone in the development of interval observers for linear and nonlinear systems. In addition, Dr. Khan serves as an editor for Technological Innovations & Energy and has been an active member of professional organizations, such as the IEEE and the International Association of Engineers, since 2024. His scholarly work has been widely recognized, with numerous publications in leading journals and conferences. He continues to secure research grants, supporting the advancement of innovative technologies in control systems and energy efficiency. Dr. Khan’s contributions to both academia and the engineering community have made him a respected figure in the field.

🌍  Research Skills On Engineering

Dr. Awais Khan possesses a deep proficiency in advanced control systems, renewable energy technologies, and interval observers. His research expertise spans control theory, nonlinear systems, and energy-efficient technologies, focusing on their applications in both academia and industry. With a strong background in mechatronics and control engineering, he has developed innovative solutions for system stability and energy optimization. Dr. Khan is skilled in designing interval observers for dynamic systems, particularly in uncertain environments, and has published extensively on the subject. His work also explores adaptive control strategies for robotics and power systems, leveraging cutting-edge technologies such as SiC and GaN. Dr. Khan is proficient in several programming languages, including Matlab, Simulink, Python, and C/C++, enabling him to implement complex models and simulations for his research. His skills in interdisciplinary collaboration and securing funding for research projects further highlight his versatility and commitment to advancing technological solutions in engineering.

 📖 Publication Top Notes

  • A survey of interval observers design methods and implementation for uncertain systems
    A Khan, W Xie, Z Bo, LW Liu
    Journal of the Franklin Institute, 358(6), 3077-3126, 2021
    Citation: 52
  • Design and Applications of Interval Observers for Uncertain Dynamical Systems
    A Khan, W Xie, Z Langwen, LW Liu
    IET Circuits, Devices & Systems, 14(6), 721-740, 2020
    Citation: 48
  • Path Planning for Wheeled Mobile Robot in Partially Known Uneven Terrain
    B Zhang, G Li, Q Zheng, X Bai, Y Ding, A Khan
    Sensors, 22(14), 5217, 2022
    Citation: 41
  • Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances
    A Rauf, M Zafran, A Khan, AR Tariq
    International Transactions on Electrical Energy Systems, 31(11), e13070, 2021
    Citation: 26
  • Interval state estimation for linear time-varying (LTV) discrete-time systems subject to component faults and uncertainties
    A Khan, W Xie, L Zhang, Ihsanullah
    Archives of Control Sciences, 29(2), 289-305, 2019
    Citation: 22
  • Set-Membership Interval State Estimator Design Using Observability Matrix for Discrete-Time Switched Linear Systems
    A Khan, LW Liu, W Xie
    IEEE Sensors Journal, 20(11), 6121-6129, 2020
    Citation: 20
  • Interval State Estimator Design for Linear Parameter Varying (LPV) Systems
    A Khan, X Bai, Z Bo, P Yan
    IEEE Transactions on Circuits and Systems II: Express Briefs, 68(8), 2865-2869, 2021
    Citation: 19
  • Finite‐time functional interval observer for linear systems with uncertainties
    L Liu, W Xie, A Khan, L Zhang
    IET Control Theory & Applications, 14(18), 2868-2878, 2020
    Citation: 14
  • Fault detection and diagnosis for a class of linear time-varying (LTV) discrete-time uncertain systems using interval observers
    Z Yi, W Xie, A Khan, B Xu
    2020 39th Chinese Control Conference (CCC), 4124-4128, 2020
    Citation: 14
  • Interval State Estimator Design Using the Observability Matrix for Multiple Input Multiple Output Linear Time-Varying Discrete-Time Systems
    A Khan, W Xie
    IEEE Access, 7, 167566-167576, 2019
    Citation: 13

Kamaraj K | Engineering | Best Researcher Award

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Dr. Kamaraj K | Engineering | Best Researcher Award

Dr. Kamaraj K, KPR Institute of Engineering and Technology, India

Dr. Kamaraj K, an accomplished academic and researcher, holds a Ph.D. in Information and Communication Engineering from Anna University (2021). With over 17 years of academic experience, he is currently an Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Coimbatore. He has a strong background in software engineering, testing, and agile methodologies, alongside expertise in Extended Reality. Dr. Kamaraj is passionate about integrating technology with real-world applications, emphasizing teamwork and continuous learning. His leadership roles include overseeing ranking, accreditation activities, and Sustainable Development Goals (SDG) initiatives. Dr. Kamaraj’s contributions extend to mentoring and advancing autonomous academic processes. His professional journey is marked by dedication, innovation, and a focus on impactful research, making him a valuable figure in engineering education and research.

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🌟   Summary of Suitability for the Research for Best Researcher Award

Dr. Kamaraj K is a highly accomplished academic professional with a strong foundation in software engineering, software testing, agile methodologies, and extended reality. With over 17.2 years of academic experience, he has consistently demonstrated leadership, innovation, and a commitment to advancing knowledge in his research areas. As an Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Dr. Kamaraj has contributed significantly to academic and administrative excellence. His responsibilities have encompassed managing accreditation processes, autonomous proceedings, and sustainable development goals (SDG) initiatives, showcasing his multifaceted expertise and organizational capabilities.

Dr. Kamaraj’s impressive academic qualifications, including a Ph.D. in Information and Communication Engineering from Anna University, underline his deep understanding of complex research topics. He has made meaningful contributions to academic literature, publishing papers on strategies for automated test oracle and test case generation, which highlight his ability to address practical challenges in software testing. His professional certifications, such as MTA, IBM DB2-302, and OCA, demonstrate his dedication to continuous learning and mastery of modern tools and technologies.

🎓 Education 

Dr. Kamaraj K’s educational journey is distinguished by academic excellence and a focus on cutting-edge engineering fields. He earned his Ph.D. in Information and Communication Engineering from Anna University in 2021, showcasing his dedication to advanced research in software engineering and testing. His M.Tech. in Software Engineering from Bharathidhasan University (2007) further honed his technical and problem-solving skills, laying a strong foundation for his career. Dr. Kamaraj also holds a B.Tech. in Information Technology from Coimbatore Institute of Engineering and Technology, affiliated with Anna University, which he completed in 2005. These qualifications reflect his commitment to academic rigor and innovation in engineering. His education has equipped him with the knowledge and expertise to lead projects, mentor students, and contribute to advancements in engineering and technology.

💼 Professional Experience 

Dr. Kamaraj K has an extensive career spanning over 17 years in academia, with significant leadership roles in prestigious institutions. Since 2017, he has been serving as Associate Professor and Head of the Department of Information Technology at KPR Institute of Engineering and Technology, Coimbatore. His responsibilities include managing ranking and accreditation activities, mentoring teams, and advancing autonomous academic processes. Prior to this, he worked at Dhanalakshmi Srinivasan College of Engineering, Coimbatore, as Assistant Professor and Department Head from 2012 to 2017. From 2007 to 2012, he contributed to SRM University, Chennai, as Assistant Professor, coordinating academic activities, accreditation processes, and extracurricular events. Dr. Kamaraj’s professional experience showcases his expertise in academic leadership, curriculum development, and student mentorship, underscoring his dedication to fostering excellence in engineering education.

🏅 Awards and Recognition

Dr. Kamaraj K’s illustrious career is marked by numerous recognitions for his academic and professional excellence. He has been acknowledged for his leadership in managing institutional rankings and accreditation activities, including QS I-GAUGE, THE Impact Ranking, and NIRF. Under his guidance, the Department of Information Technology at KPR Institute of Engineering and Technology has achieved significant milestones. Dr. Kamaraj’s contributions to autonomous academic processes and his role in advancing Sustainable Development Goals (SDGs) have been widely recognized. He is also a certified professional in various technical domains, holding certifications such as MTA in Database Management, IBM DB2-302, and Oracle Certified Associate (OCA). His dedication to quality education and impactful research has earned him a reputation as a forward-thinking academic leader.

🌍 Research Focus and Skills On Engineering

Dr. Kamaraj K’s research expertise lies in software engineering, with a focus on software testing, agile methodologies, and extended reality. He is passionate about applying innovative technologies to solve real-world challenges, emphasizing the integration of theory and practice. Dr. Kamaraj is skilled in automated test oracle strategies, test case generation, and reduction techniques, as reflected in his published works. His technical proficiency extends to database management systems, manual testing, and programming, supported by certifications in MTA, IBM DB2, and ISTQB. As a researcher and academic leader, he is dedicated to advancing knowledge in his field through continuous learning and collaboration. Dr. Kamaraj’s ability to mentor students, lead projects, and contribute to impactful research highlights his commitment to driving innovation in engineering and technology.

📖 Publication Top Notes

  1. Title: A Hybridized Artificial Neural Network for Automated Software Test Oracle
    Authors: R.M. K. Kamaraj, B. Lanitha, S. Karthic, P. N. Senthil Prakash
    Journal: Computer Systems Science and Engineering, 45 (2), 1837-1850
    Citations: 12
    Year: 2022
  2. Title: A weight optimized artificial neural network for automated software test oracle
    Authors: K. Kamaraj, C. Arvind, K. Srihari
    Journal: Soft Computing, 24 (17), 13501-13511
    Citations: 9
    Year: 2020
  3. Title: Improved beetle swarm optimization algorithm for energy efficient virtual machine consolidation on cloud environment
    Authors: H. Bhagavathi, S. Rathinavelayatham, K. Shanmugaiah, K. Kanagaraj, …
    Journal: Concurrency and Computation: Practice and Experience, 34 (10), e6828
    Citations: 8
    Year: 2022
  4. Title: Intelligent fuzzy edge computing for real-time decision making in IoT-based digital twin environments
    Authors: K. Prasath, N. Arun, A. Saravanan, B. Kamaraj
    Journal: Journal of Intelligent & Fuzzy Systems, 1-12
    Citations: 1
    Year: 2023
  5. Title: Multiobjective Gannet Dung Beetle Optimization for routing in IoT-WSN
    Authors: S. Sangeetha, K. Kanagaraj, N. Prasath, S. Saradha
    Journal: Peer-to-Peer Networking and Applications, 1-21
    Citations: Not yet available
    Year: 2024
  6. Title: Soybean Leaf Disease Classification using Enhanced Densenet121
    Authors: V. Yogabalajee, K. Sundaram, K. Kanagaraj
    Conference: 2024 10th International Conference on Advanced Computing and Communication
    Citations: Not yet available
    Year: 2024
  7. Title: Meeting Recap Automation: Leveraging NLP and Pretrained Models for Effortless Summaries
    Authors: G.D.P. Kamaraj, K. Dheepakh Bala, T. Divya, S. P.
    Journal: International Journal of Advance Computational Engineering and Networking
    Citations: Not yet available
    Year: 2024
  8. Title: Prediction of Lung Infections with Deep Learning Techniques: A Systematic Review
    Authors: V. Thangamuthu, K. Kamaraj, J.D.K. Hezekiah
    Conference: 2023 3rd International Conference on Innovative Mechanisms for Industry
    Citations: Not yet available
    Year: 2023
  9. Title: Data driven probabilistic detection of fake news using advanced machine learning algorithms
    Authors: K. Kamaraj, R. Giri, S. Dhanush, S. Gokul
    Journal: AIP Conference Proceedings, 2764 (1)
    Citations: Not yet available
    Year: 2023
  10. Title: Speech Based Emotion Recognition System
    Authors: D.K.K. Sri Murugharaj B.R., Shakthy B., Sabari L.
    Journal: International Journal of Engineering Technology and Management Sciences, 7 (1)
    Citations: Not yet available
    Year: 2023

Praveen Sankarasubramanian | Engineering | Best Researcher Award

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Dr. Praveen Sankarasubramanian | Engineering | Best Researcher Award

Dr. Praveen Sankarasubramanian, RMD Research labs, India

Dr. Praveen Sankarasubramanian is a distinguished technologist and researcher with over 13 years of experience in software development, AI, cloud computing, and industrial safety. Currently, he serves as a Senior Software Developer at Pearson India Education Services, specializing in Java, Spring Boot, and AWS Cloud. Dr. Praveen is also the founder of RMD Research Labs, focusing on cutting-edge research in AI, NLP, and safety technologies. His academic expertise is complemented by a Ph.D. in Computer Science and Engineering from VELS University, an M.Tech. in Software Systems from Birla Institute of Technology and Science, and multiple certifications. Dr. Praveen has developed innovative solutions in various domains, including AI-driven safety mechanisms, cloud platforms, and personalized learning systems. His leadership, mentorship, and continuous drive for innovation have made a significant impact on both academic and industry landscapes.

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🎓Education:

Dr. Praveen Sankarasubramanian’s academic journey reflects his dedication to excellence in technology and engineering. He earned a Ph.D. in Computer Science and Engineering from VELS University (March 2018 – August 2023), where he focused on AI, NLP, and cloud-based technologies. His M.Tech. in Software Systems from Birla Institute of Technology and Science, Pilani (2015-2017) provided a solid foundation in advanced software development techniques. Further expanding his expertise, Dr. Praveen completed an Advanced Diploma in Industrial Safety from Bharat Sevak Samaj (2017-2018). Additionally, he pursued a Post Graduate Program in Business Administration with a focus on operations from Symbiosis (2012-2014). His academic background equips him with a diverse skill set, enabling him to tackle complex problems in software engineering, AI, and industrial safety. This foundation has played a key role in his successful integration of theoretical knowledge with practical solutions.

💼Professional Experience:

Dr. Praveen Sankarasubramanian has extensive professional experience, having held leadership roles in major global tech companies. Currently, he is a Senior Software Developer at Pearson India Education Services, where he focuses on cutting-edge technologies such as Java, AWS Cloud, and Spring Boot. Before this, Dr. Praveen was a Senior Software Engineer at Cognizant, where he managed multiple projects in personalized learning and analytics. He oversaw a cross-functional team of 48 members and led seven parallel projects, successfully meeting organizational and project goals. Dr. Praveen’s experience also spans roles at Software AG, GlobalLogic, and 8K Miles Software Services, where he developed cloud-based systems and advanced data analytics solutions. As the founder of RMD Research Labs, he continues to lead research projects in AI and NLP. His career has consistently showcased his ability to merge leadership with technical innovation to drive impactful solutions in both academia and industry.

🔬Research Skills:

Dr. Praveen Sankarasubramanian possesses a diverse and highly advanced skill set in research, combining expertise in artificial intelligence (AI), natural language processing (NLP), machine learning (ML), cloud computing, and industrial safety. His research work spans several impactful areas, such as developing AI-driven safety systems, optimizing cloud platforms, and advancing personalized learning solutions in education technology. Dr. Praveen has also contributed to bandwidth optimization for video solutions and AI for predictive maintenance. His interdisciplinary approach allows him to apply theoretical research to real-world challenges, resulting in the creation of patents and innovative software solutions. Additionally, he has honed his skills in project management, utilizing Agile, Scrum, and JIRA to lead research teams effectively. Dr. Praveen’s research has not only influenced the tech industry but also shaped academic curricula, through his mentorship and contributions to educational resources such as books and journals for students.

🏆Awards and Recognition:

Dr. Praveen Sankarasubramanian’s dedication to innovation and technology has earned him numerous accolades throughout his career. He holds a patent for a system to monitor and handle liquid sodium leakage and fire accidents using AI, which showcases his contribution to industrial safety. His work on bandwidth optimization for video solutions also demonstrates his innovative approach to solving critical tech challenges. Dr. Praveen’s leadership and expertise in cloud computing, AI, and software development have been widely recognized within the tech industry, especially during his tenure at Pearson India and Cognizant. He has also been recognized for his mentorship, having successfully onboarded and guided numerous associates and students in their professional journeys. As a researcher, his contributions have further been acknowledged in academic circles, making him a trusted mentor for the next generation of engineers. His accolades reflect his commitment to excellence, both as a researcher and as a leader.

📖Publications Titles:

  • A System and Method for Monitoring, Sensing, Analyzing, and Handling the Pre-determined Status of Liquid Metals 📊💡
  • AI-driven Safety Mechanisms for Industrial Accidents 🔥🤖
  • Bandwidth Optimization for Video Solutions in Cloud-Based Applications 🌐📹
  • Predictive Maintenance in Industrial Safety Systems Using Machine Learning 🔧🤖
  • Developing Personalized Learning Solutions in Education Technology 🎓📚
  • Cloud Architecture for Scalable SaaS Platforms ☁️💻

🌟Conclusion:

Dr. Praveen Sankarasubramanian is a highly qualified and innovative researcher whose contributions to AI, cloud computing, and industrial safety have made a significant impact. His ability to blend academic knowledge with practical solutions, demonstrated through patents and cutting-edge technologies, highlights his research excellence. With over 13 years of experience, he has successfully led teams, managed complex projects, and mentored the next generation of engineers. Dr. Praveen’s leadership, technical expertise, and dedication to continuous innovation make him a deserving candidate for the Research for Best Researcher Award, marking him as a pioneer in his field.

Top Notable Publications

  • 👤 Enhancing precision in agriculture: A smart predictive model for optimal sensor selection through IoT integration
    • Authors: Sankarasubramanian, P.
    • Citations: 0 🌟
    • Year: 2025 🎓
    • Journal: Smart Agricultural Technology 📖
  • 👤 An efficient crack detection and leakage monitoring in liquid metal pipelines using a novel BRetN and TCK-LSTM techniques
    • Authors: Sankarasubramanian, P.
    • Citations: 0 🌟
    • Year: 2024 🎓
    • Journal: Multimedia Tools and Applications 📖
  • 👤 Protection of Hazardous Places in Industries using Machine Learning
    • Authors: Sankarasubramanian, P.
    • Citations: 1 🌟
    • Year: 2023 🎓
    • Conference: 2023 International Conference on Emerging Smart Computing and Informatics (ESCI 2023) 💼
  • 👤 Artificial intelligence-based detection system for hazardous liquid metal fire
    • Authors: Sankarasubramanian, P., Ganesh, E.N.
    • Citations: 1 🌟
    • Year: 2021 🎓
    • Conference: Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom 2021) 💼
  • 👤 Realtime Pipeline Fire Smoke Detection Using a Lightweight CNN Model
    • Authors: Kumar, V.K.S., Sankarasubramanian, P.
    • Citations: 5 🌟
    • Year: 2021 🎓
    • Conference: Proceedings of the 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2021) 💼
  • 👤 IoT based prediction for industrial ecosystem
    • Authors: Sankarasubramanian, P., Ganesh, E.N.
    • Citations: 1 🌟
    • Year: 2019 🎓
    • Journal: International Journal of Engineering and Advanced Technology 📖

Tran Thi Bich Chau Vo | Industrial and Systems | Academic Excellence Award

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Tran Thi Bich Chau Vo | Industrial and Systems | Academic Excellence Award

PhD Candidate at National Kaohsiung University of Science and Technology, Taiwan🎓

Tran Thi Bich Chau VO is an accomplished academic and professional with a strong background in industrial management and engineering. With extensive experience in both academia and the textile and garment industry, she has demonstrated a commitment to advancing knowledge and practical applications in her field. Currently, she is pursuing a Ph.D. in Industrial Engineering and Management, focusing on optimizing workflow processes and efficiency. Her dedication to education, research, and industry innovation positions her as a leading figure in her domain.

Professional Profile 

🎓Education

Tran Thi Bich Chau VO is pursuing a Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, with a research focus on improving processing efficiency through workflow process reengineering, simulation, and value stream mapping. She previously earned a Master of Engineering in Industrial and Systems Engineering from Ho Chi Minh City University of Technology, where her thesis explored the effects of lean manufacturing in the garment industry. She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, with a thesis focused on improving production patterns in the garment sector.

💼Work Experience

Tran Thi Bich Chau VO has been a lecturer at the Faculty of Industrial Management at Can Tho University since 2014, where she imparts her knowledge to the next generation of engineers and managers. Prior to her academic career, she held significant roles in the textile and garment industry, including Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company and as a Work Study staff member at Garment Fashion Limited. These roles allowed her to gain valuable industry insights, which she now integrates into her teaching and research.

🔍Research Focus 

Tran Thi Bich Chau VO’s research primarily focuses on enhancing industrial processes through innovative approaches such as workflow process reengineering, simulation, and value stream mapping. Her ongoing Ph.D. research aims to improve processing efficiency, particularly in industrial settings, reflecting her commitment to both theoretical advancement and practical application in the field of Industrial Engineering and Management. Her previous research on lean manufacturing in the garment industry also underscores her interest in optimizing production processes and increasing efficiency.

🏆Awards and Honors

While specific awards and honors are not mentioned in her profile, Tran Thi Bich Chau VO’s continuous advancement in her academic and professional journey, including her pursuit of a Ph.D. and her leadership roles in the industry, suggest a career marked by dedication and recognition within her field.

Conclusion

Tran Thi Bich Chau VO is a promising candidate for the Academic Excellence Award, given her strong academic background, relevant industry experience, and current engagement in impactful research. While her publication record and international collaborations could be areas for development, her dedication to improving process efficiency and her contributions to education make her a strong contender for this award.

📖Publications : 

    1. A comprehensive review of aeration and wastewater treatment 🌊♻️
      • Year: 2024
      • Journal: Aquaculture
      • Author: Vo, T.T.B.C.
    2. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications 🧬📱
      • Year: 2024
      • Journal: Advanced Healthcare Materials
      • Author: Vo, T.T.B.C.
    3. Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives 🦐🌍
      • Year: 2024
      • Journal: Aqua Water Infrastructure, Ecosystems and Society
      • Author: Vo, T.T.B.C.
    4. Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: a case study of business process reengineering 🔄🏭
      • Year: 2024
      • Journal: Business Process Management Journal
      • Author: Vo, T.T.B.C.
    5. Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study 🛠️📈
      • Year: 2024
      • Journal: EMJ – Engineering Management Journal
      • Author: Vo, T.T.B.C.
    6. Optimal microgrid design and operation for sustainable shrimp farming ⚡🦐
      • Year: 2023
      • Journal: AIP Conference Proceedings
      • Author: Chau, V.T.T.B.
    7. Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam 🚨🇻🇳
      • Year: 2023
      • Journal: AIP Conference Proceedings
      • Author: Chau, V.T.T.B.
    8. Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ) 🆕🔍
      • Year: 2023
      • Journal: Operations and Supply Chain Management
      • Author: Vo, T.T.B.C.
    9. Improvıng Inventory Tıme in Productıon Lıne through Value Stream Mappıng: A Case Study ⏳🔧
      • Year: 2023
      • Journal: Journal of Engineering Science and Technology Review
      • Author: Vo, T.T.B.C.
    10. Organic dye removal and recycling performances of graphene oxide-coated biopolymer sponge 🧽🔄
      • Year: 2022
      • Journal: Progress in Natural Science: Materials International
      • Author: Vo, T.T.B.C

Byounghyun Jeon | Engineering | Best Researcher Award

Posted on by sciencefather

Byounghyun Jeon | Engineering | Best Researcher Award

Master student at Sungkyunkwan University, South Korea 🎓

Byounghyun Jeon is a prominent researcher in the field of materials science, specializing in laser processing of 2D materials and surface enhancement Raman scattering. With a solid educational background, significant work experience, and notable awards, he has demonstrated expertise and leadership in his research. His commitment to interdisciplinary collaboration and innovation makes him a leading figure in advancing material science technologies

Professional Profile 

🎓Education🧑‍🎓

Byounghyun Jeon holds a Master of Engineering in Mechanical Engineering from Sungkyunkwan University, South Korea, where he is currently studying under the guidance of Associate Professor Kyunghoon Kim. He completed his Bachelor of Engineering in Mechanical and Automotive Engineering at Inje University, South Korea. His academic background provides a strong foundation in mechanical engineering, with a focus on advanced material processing and innovative technologies.

💼Work Experience

Byounghyun Jeon is an Associate Professor in the Complex Materials Engineering & Systems (COME) Lab at Sungkyunkwan University, where he leads research in 2D material laser processing. Previously, he completed internships at the Korea Institute of Science and Technology (KIST) and Inje University, gaining hands-on experience in soft convergence materials and automotive noise control. His work experience demonstrates a comprehensive understanding of material science and effective project management.

🔍Research Focus 

Jeon’s research centers on laser processing of 2D materials, surface-enhanced Raman scattering, and the development of innovative material composites. His work involves resolving complex material processing challenges and integrating interdisciplinary approaches to achieve groundbreaking results. His focus on cutting-edge technologies and their practical applications underscores his dedication to advancing the field of materials science.

🏆Awards and Honors

Jeon has received notable recognition for his research, including the Outstanding Poster Award from The Korean Society of Mechanical Engineers (KSME) in 2022. His contributions to the field are further underscored by his involvement in high-impact conferences and his upcoming publications, reflecting his commitment to advancing knowledge in material science and laser processing technologies.

Conclusion

Byounghyun Jeon is a highly suitable candidate for the Best Researcher Award due to his exceptional expertise in laser processing, interdisciplinary collaboration, and substantial contributions to the field of materials science. His innovative approach and leadership in research make him a standout candidate for this prestigious recognition.

📖Publications : 

  1. Flexible Composites Designed for Physic Sensors, and Their Electromechanical and Adhesive Performances
    • Authors: TS Vo, TS Nguyen, TTBC Vo, B Jeon, S Han, K Kim
    • Journal: Journal of Materials Science and Technology
    • Year: 2024
    • Status: In Submission
  2. Characteristics and Preliminary Healing Ability of Polydimethylsiloxane Elastomers
    • Authors: TS Vo, TS Nguyen, B Jeon, TTBC Vo, S Han, SH Lee, K Kim
    • Journal: Journal of Materials Research and Technology
    • Year: 2024
    • Status: Under Review R1
  3. A Comprehensive Review of Chitosan-Based Functional Materials: From History to Specific Applications
    • Authors: TS Vo, PP Chit, VH Nguyen, T Hoang, KM Lwin, TTBC Vo, B Jeon, S Han, J Lee, Y Park, K Kim
    • Journal: International Journal of Biological Macromolecules
    • Year: 2024
    • Status: Under Review R1
  4. A Comprehensive Review of Laser Processing-Assisted 2D Functional Materials, and Their Specific Applications
    • Authors: TS Vo*, B Jeon*, VPT Nguyen, T Hoang, KM Lwin, TTBC Vo, S Han, K Kim
    • Journal: Materials Today Physics
    • Year: 2024
    • DOI: 10.1016/j.mtphys.2024.101536
  5. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
    • Authors: TS Vo, T Hoang, TTBC Vo, B Jeon, K Kim
    • Journal: Advanced Healthcare Materials
    • Year: 2024
    • DOI: 10.1002/adhm.202303923