Yogesh Thakare | Engineering | Best Researcher Award

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Yogesh Thakare | Engineering | Best Researcher Award

Dr Yogesh Thakare, Ramdeobaba University, Nagpur, India

Dr. Yogesh Thakare 🎓 is an accomplished researcher and educator in Electronics and Communication Engineering. He earned his Ph.D. (2020) from SGB Amravati University, specializing in DRAM design using submicron technology 💾. Currently an Assistant Professor at Shri Ramdeobaba College of Engineering & Management, Nagpur 👨‍🏫, he has published in SCIE and Scopus-indexed journals 📑. His research spans FPGA architectures, AI, IoT, and biomedical systems 🤖. A GATE qualifier (94.92%), he has led government-funded projects 💰 and organized AI & IoT workshops 🏗️. Passionate about innovation, he contributes to cutting-edge electronics and computing technologies ⚡.

Publication Profile

Google Scholar

Academic Excellence

Dr. Yogesh Thakare earned his Ph.D. in Electronics Engineering from SGB Amravati University in 2020, focusing on Dynamic Random Access Memory (DRAM) design using submicron technology ⚡🔬. His academic journey reflects excellence, having completed his M.Tech with Distinction (85.10%) 🎓🏆 and his B.E. with First-Class (72.62%) 📚✨. With a strong foundation in electronics and a passion for advanced semiconductor technologies, Dr. Thakare has made significant contributions to memory design and innovation. His expertise in microelectronics and circuit design continues to drive advancements in the field, shaping the future of high-performance computing and digital storage solutions 💡🔍.

Funded Research & Grants

Dr. Yogesh Thakare has demonstrated exceptional research leadership by securing ₹24.6 Lakhs from CSIR for developing an automated water distribution system 💧🔬. His innovative approach aims to enhance water management efficiency through automation, contributing to sustainable resource utilization 🌱💡. This significant funding underscores his expertise in engineering solutions that address real-world challenges 🏗️⚙️. With a strong commitment to technological advancement, Dr. Thakare continues to drive impactful research that promotes water conservation and smart distribution systems 🌍📊. His work not only fosters scientific progress but also supports community welfare by ensuring efficient and equitable water access 🚰✅.

Experience

Dr. Yogesh Thakare is an experienced educator with over 14 years of teaching in top engineering institutes 🏫, including Shri Ramdeobaba College of Engineering and Management, Nagpur. As an Assistant Professor, he has played a key role in shaping technical education 📚. His passion for emerging technologies has led him to organize numerous workshops on Artificial Intelligence 🤖, the Internet of Things 🌐, and Machine Learning 📊, empowering students with cutting-edge knowledge. Through his dedication to academic excellence and innovation, Dr. Thakare continues to inspire the next generation of engineers and researchers 🚀.

Research Focus

Dr. Yogesh Thakare’s research spans electronics, artificial intelligence, IoT, and machine learning 🤖📡. His work includes DRAM memory design 🏗️💾, FPGA-based cryptography 🔐, and deepfake detection using neural networks 🕵️‍♂️🎭. He has contributed to environmental intelligence systems 🌱📊, weather prediction for agriculture 🌦️🚜, and smart monitoring technologies 📡🏠. Additionally, he has explored cortisol detection for stress monitoring 🧪⚕️ and crime reporting frameworks 🚔📜. His interdisciplinary research integrates hardware and AI-driven solutions, making impactful advancements in computing, security, and human well-being 🔬💡. His innovative approach bridges technology and real-world applications, enhancing automation, safety, and intelligence. 🚀

Publication Top Notes

Intelligent Life Saver System for People Living in Earthquake Zone.

An Effect of Process Variation on 3T-1D DRAM

Analysis of power dissipation in design of capacitorless embedded DRAM

IoT-Enabled Environmental Intelligence: A Smart Monitoring System

Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory.

A Read-out Scheme of 1T-1D DRAM Design with Transistor Assisted Decoupled Sensing Amplifier in 7 nm Technology

Enhancing weather prediction and forecasting for agricultural applications using machine learning

FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices

Crafting visual art from text: A generative approach

Cortisol Detection Methods for Stress Monitoring: Current Insight and Future Prospect: A Review

An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in Advanced Driving Assistance Systems

Development and design approach of an sEMG-based Eye movement control system for paralyzed individuals

 

Sakthivel Ramalingam | Engineering | Best Researcher Award

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Assist. Prof. Dr. Sakthivel Ramalingam | Engineering | Best Researcher Award

Assistant Professor Senior Grade at  Vellore Institute of Technology Chennai, India.

Dr. Ramalingam Sakthivel is a distinguished researcher with a focus on fuzzy systems, dynamical networks, and cybersecurity. With a robust academic background and extensive experience in teaching and research, he has established himself as a leading voice in his field. Over the course of 16 years, Dr. Sakthivel has published 38 SCIE-indexed articles in prestigious journals, amassing over 607 citations, an h-index of 15, and an i10-index of 21. He is globally recognized for his innovative work, having contributed significantly to advancing control systems and synchronization analysis in the presence of cyber-attacks. Dr. Sakthivel’s professional journey reflects his commitment to excellence, making him a highly regarded scholar in academia and beyond.

Professional Profile:

Education

Dr. Sakthivel has an exemplary academic record. He earned his Bachelor’s and Master’s degrees in Mathematics from reputable institutions in India. Pursuing his passion for advanced research, he completed his Ph.D. in Mathematics, specializing in control systems and fuzzy logic, from a leading university. His doctoral research laid the foundation for his subsequent groundbreaking work in dynamical systems and cybersecurity. Dr. Sakthivel further enhanced his expertise through postdoctoral research at Chungbuk National University, South Korea, where he delved into synchronization and control strategies for complex systems. His educational journey underscores his dedication to mastering his discipline and advancing knowledge.

Professional Experience

Dr. Sakthivel’s professional career spans over 16 years, during which he has held various academic and research positions. He began as an Assistant Professor in India, where he honed his teaching and mentoring skills. Later, he moved to South Korea for postdoctoral research at Chungbuk National University, focusing on networked control systems under cyber-attacks. Dr. Sakthivel’s experience also includes extensive collaborations with international researchers and serving as a reviewer for over 500 papers in high-impact journals. His dual roles as an educator and researcher reflect his ability to seamlessly blend theoretical insights with practical applications, making significant contributions to academia and industry.

Research Interests

Dr. Sakthivel’s research interests encompass fuzzy systems, dynamical networks, and cybersecurity. He focuses on developing advanced control strategies to address challenges posed by cyber-attacks and synchronization issues in complex systems. His work integrates mathematical modeling, system stability analysis, and optimization techniques to improve system resilience. Additionally, he explores applications of fuzzy logic in real-time systems and their implications for industrial automation and intelligent decision-making. His interdisciplinary approach bridges gaps between mathematics, engineering, and computer science, enabling innovative solutions to pressing challenges in networked control systems.

Research Skills

Dr. Sakthivel possesses exceptional research skills in mathematical modeling, stability analysis, and control system design. He is proficient in utilizing advanced mathematical tools and software to simulate and analyze complex dynamical systems. His expertise extends to synchronization strategies, cybersecurity mechanisms, and fuzzy logic applications, allowing him to address multi-faceted research problems effectively. Additionally, Dr. Sakthivel’s skills in academic writing, critical analysis, and peer review have contributed to his extensive publication record and recognition as a reviewer for leading journals. His ability to synthesize knowledge across disciplines makes him a versatile and impactful researcher.

Awards and Honors

Dr. Sakthivel has received numerous accolades, underscoring his academic and research excellence. He was honored as an “Excellent Researcher of the Hall of Fame” at Chungbuk National University in 2021 and 2023, recognizing his exceptional contributions to the field. He has also secured grants to attend prestigious conferences such as ICIAM (2019, 2023) and ICM (2022). His impactful research has earned him widespread recognition, further solidifying his reputation as a leading scholar in his domain. These awards reflect Dr. Sakthivel’s dedication to advancing knowledge and his standing as an esteemed member of the global academic community.

Conclusion

Dr. Ramalingam Sakthivel is a highly accomplished researcher whose career embodies academic rigor, innovation, and global impact. His extensive publication record, groundbreaking contributions to fuzzy systems and cybersecurity, and dedication to teaching and mentorship make him a standout scholar. While his achievements are already remarkable, his continued pursuit of interdisciplinary research, grant acquisition, and public engagement will undoubtedly enhance his contributions further. Dr. Sakthivel’s work not only advances theoretical knowledge but also addresses practical challenges, making him a valuable asset to academia and industry alike. His achievements position him as a deserving candidate for prestigious recognitions and awards.

Publication Top Notes

  • Event-triggered synchronization control for fractional-order IT2 fuzzy multi-weighted complex dynamical networks with deception attacks
    Authors: Sakthivel, R., Kwon, O.-M., Park, M.-J.
    Year: 2024
    Citations: 3
  • Finite-Time Resilient Filtering for Discrete-Time T-S Fuzzy Networked Control Systems with Switching Communication Channels under Cyber Attacks
    Authors: Sakthivel, R., Kwon, O.-M., Park, M.J.
    Year: 2024
  • Event-triggered output feedback control design for polynomial fuzzy systems
    Authors: Selvaraj, P., Sakthivel, R., Kwon, O.-M.
    Year: 2024
    Citations: 3
  • Design and experimentation of sampled-data controller in T-S fuzzy systems with input saturation through the use of linear switching methods
    Authors: Kim, Y., Lee, Y., Lee, S., Sakthivel, R., Kwon, O.
    Year: 2024
  • Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks
    Authors: Sakthivel, R., Kwon, O.-M., Choi, S.-G.
    Year: 2023
    Citations: 12
  • Equivalent-Input-Disturbance Based Robust Control Design for Fuzzy Semi-Markovian Jump Systems via the Proportional-Integral Observer Approach
    Authors: Dharmarajan, A., Arumugam, P., Ramalingam, S., Ramasamy, K.
    Year: 2023
    Citations: 2
  • Event-Triggered Finite-Time Dissipative Filtering for Interval Type-2 Fuzzy Complex Dynamical Networks with Cyber Attacks
    Authors: Sakthivel, R., Kwon, O.-M., Park, M.J.
    Year: 2023
    Citations: 19
  • Innate Immune Response Assessment in Cyprinus carpio L. upon Experimental Administration with Artemia salina Bio-Encapsulated Aeromonas hydrophila Bacterin
    Authors: Radhakrishnan, A., Prabakaran, D.S., Ramesh, T., Han, H.-S., Jeyachandran, S.
    Year: 2023
  • Robust memory control design for semi-Markovian jump systems with cyber attacks
    Authors: Sakthivel, R., Selvaraj, P., Kwon, O.-M., Choi, S.-G.
    Year: 2023
    Citations: 2
  • Fault Estimation and Fault-Tolerant Control for Networked Control Systems with Packet Dropouts
    Authors: Sakthivel, R., Kim, Y., Kavikumar, R., Kwon, O.-M.
    Year: 2023 (Conference Paper)

Desen Özkan | Engineering | Best Researcher Award

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Desen Özkan | Engineering | Best Researcher Award

Dr Desen Özkan, University of Connecticut, United States

Dr. Desen Özkan is an Assistant Professor of Chemical and Biomolecular Engineering at the University of Connecticut, with an affiliate position in the Neag School of Education. He is also the Graduate Program Director for the Engineering Education Ph.D. program. Dr. Özkan’s research focuses on sociotechnical identity development, equity in engineering education, and offshore wind energy. He holds a Ph.D. in Engineering Education from Virginia Tech and has held postdoctoral roles at Tufts University. Dr. Özkan’s work bridges engineering, education, and social justice, emphasizing interdisciplinary collaboration and inclusive curricula. 🌍⚙️📚💡🌱

Publication Profile

google scholar

Education

Dr. Desen Özkan holds a Ph.D. in Engineering Education from Virginia Polytechnic Institute and State University (2020), where she focused on transdisciplinary approaches in interdisciplinary faculty teaching. She has an extensive academic background with courses from prestigious institutions. Dr. Özkan completed projects on offshore wind energy economics at the University of Massachusetts and structural engineering at Tufts University. She also studied environmental chemistry, microbiology, and mathematical modeling at the University of Tennessee. Her B.S. in Chemical and Biological Engineering was earned at Tufts University in 2013. Dr. Özkan’s work merges engineering, education, and sustainability. 🌍⚙️🎓📚

Experience

Dr. Desen Özkan has diverse research experience in both engineering and social sciences. As a Postdoctoral Researcher at Tufts University, she analyzed job development in Maine’s offshore wind industry, producing the report Floating to the Top (2021), and contributed to a study on equity in offshore wind job development, invited by Connecticut State Legislators (2022). At Virginia Tech, she worked on the NSF-funded Revolutionizing Engineering and Computer Engineering Departments project (2018-2019) and contributed to the Science, Technology, and Society department’s undergraduate degree proposal (2019). Additionally, Dr. Özkan conducted water quality research at the University of Tennessee, focusing on wastewater reclamation. 🌊💡🔬

Awards and Recognition

Dr. Desen Özkan has received multiple nominations for Tufts University’s Significant Impact Awards, recognizing her outstanding contributions to STEM education. Her dedication to mentoring and promoting diversity within the field has been a hallmark of her career. Additionally, Dr. Özkan was selected to participate in the prestigious New Energy Summer Summit at Dartmouth, further highlighting her commitment to advancing innovation and sustainability. These accolades underscore her impactful work in fostering inclusive environments and pushing boundaries in science and technology. Her achievements inspire future generations of diverse STEM leaders. 🏆👩‍🔬🌍💡

Conference Activity

Dr. Desen Özkan has presented at numerous conferences, focusing on sociotechnical engineering education and diversity in the field. Notable presentations include “Positionality, Empathy, and Subjectivity in Research” at the 2024 Compassion and Global Citizenship Conference, and “What is a Job? Deconstructing Offshore Wind Jobs” at the 2024 Petrocultures Conference. Additionally, Dr. Özkan co-presented papers on worker safety in offshore wind at the ASEE Annual Conference and explored environmental racism in engineering courses. Her work also includes teaching design through sociotechnical perspectives, with a focus on student experiences in first-year engineering courses. 🎤🌍📚

Research Focus

Dr. Desen Özkan’s research primarily focuses on the intersection of engineering education, diversity, and sociotechnical systems. Her work explores how contextualization and cultural considerations can enhance learning experiences in engineering education. She investigates methods like persona-based curricular design and emphasizes the importance of addressing reality gaps in senior design projects. Additionally, Dr. Özkan examines the positionality of researchers in engineering education and the teacher-learner dynamic. Her research aims to make engineering education more inclusive, effective, and adaptable, particularly for minoritized groups. 🛠️📚💡🎓

Publication Top Notes

Positionality statements in engineering education research: A look at the hand that guides the methodological tools

Contextualization as virtue in engineering education

Using personas as curricular design tools: Engaging the boundaries of engineering culture

Contextualization in engineering education: A scoping literature review

Teacher learner, learner teacher: parallels and dissonance in an interdisciplinary design education minor

Reality gaps in industrial engineering senior design or capstone projects

Perspectives of Seven Minoritized Students in a First-Year Course Redesign toward Sociotechnical Engineering Education