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

 

Santos Kumar Das | Engineering | Best Researcher Award

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Dr. Santos Kumar Das | Engineering | Best Researcher Award

Associate Professor at National Institute of Technology Rourkela, India

Dr. Santos Kumar Das, an Associate Professor at the Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Rourkela, is an accomplished researcher with expertise in AI, IoT, Sensor Networking, and Optical Networking, including LiFi, FSO, and SDN. With a Ph.D. in Communication Networks from NIT Rourkela and an M.S. in Electrical Communication Engineering from IISc Bangalore, Dr. Das has an extensive academic and professional background. He has supervised 12 Ph.D., 53 M.Tech., and 54 B.Tech. theses and managed numerous government-funded research projects totaling over ₹671 lakh. A recipient of multiple awards, including the Best Research Paper Award at IoTCloud’21 and INDICON 2023, he has over 50 journal publications. Dr. Das is actively involved in academia as a reviewer, technical committee member, and conference session chair. His innovative contributions in 6G communication and IoT for societal applications make him a strong contender for the Best Researcher Award.

Professional Profile

Education

Dr. Santos Kumar Das has an impressive educational background, marked by a strong foundation in electronics and communication engineering. He completed his Ph.D. in Communication Networks from the National Institute of Technology (NIT), Rourkela, in 2014. Prior to that, he earned a Master of Science (M.S.) in Electrical Communication Engineering from the prestigious Indian Institute of Science (IISc), Bangalore, in 2002, graduating with first-class honors. Dr. Das also holds a Bachelor of Engineering (B.E.) degree in Electronics and Communication from VSSUT (formerly UCE), Burla, Odisha, completed in 1998, where he again achieved first-class honors. His academic journey began with a strong foundation in science during his higher secondary education at D.D. College, Keonjhar, Odisha, where he secured first-class marks. With this comprehensive educational background, Dr. Das has built a distinguished career in research and teaching, focusing on cutting-edge technologies in communications and networking.

Professional Experience

Dr. Santos Kumar Das has a diverse and extensive professional experience spanning academia, industry, and research. Currently serving as an Associate Professor at the Department of Electronics and Communication Engineering at NIT Rourkela since 2009, he has significantly contributed to the institution’s academic and research initiatives. Prior to his academic career, Dr. Das gained substantial industry experience as a Senior Software Engineer at Palvision and ITXpress in Singapore, where he worked on cutting-edge network systems and software development. He also held roles as a Software Engineer at Actatek and Network Engineer at Netmarks, contributing to advanced technological solutions in various sectors. In addition, Dr. Das worked as a Research Associate at CEMNet Lab, NTU Singapore, and as a Research Engineer at A-Star Singapore, where he was involved in high-impact research in communication networks and sensor technologies. His broad range of roles has enriched his expertise and research focus, particularly in IoT, AI, and Optical Networking.

Research Interest

Dr. Santos Kumar Das has a broad and innovative research focus, primarily centered around emerging technologies in communications and networking. His key research interests include Artificial Intelligence (AI), the Internet of Things (IoT), Sensor Networking, and Optical Networking, particularly focusing on cutting-edge technologies like LiFi, Free-Space Optics (FSO), and Software-Defined Networking (SDN). Dr. Das explores the integration of AI in IoT applications, aiming to enhance the intelligence and efficiency of network systems. His work in optical networking focuses on leveraging advanced communication techniques for high-speed data transmission and next-generation wireless systems, with a special emphasis on 6G communication technologies. He also investigates IoT-based smart city applications, environmental monitoring systems, and industrial IoT for better security, safety, and resource management. By combining AI with sensor networks and optical technologies, Dr. Das contributes to the development of sustainable, intelligent, and high-performance communication systems for both industrial and societal applications.

Award and Honor

Dr. Santos Kumar Das has received numerous prestigious awards and honors throughout his career, reflecting his excellence in research, teaching, and professional contributions. He was recognized as a Senior Member of IEEE in 2019, showcasing his standing in the global engineering community. Dr. Das has received multiple Best Paper Awards, including at the International Conference on Next Generation Computing Technologies (NGCT) in 2017, Electronic Systems and Intelligent Computing (ESIC) in 2020, and IoTCloud’21, III T Kottayam in 2021. He was also honored with the Best Faculty Advisor Award at NIT Rourkela in 2022 and 2023 for his outstanding guidance to students. Dr. Das’s leadership and contributions to academic committees have earned him recognition as an editorial board member and reviewer for multiple journals. Additionally, his involvement in technical committees and chairing sessions at international conferences, such as TENCON 2023 and SGCNSP 2023, further exemplify his significant impact in the field of engineering and technology.

Conclusion

Dr. Santos Kumar Das stands out as a highly accomplished researcher with a stellar record in academia, research, and mentorship. His contributions to IoT, AI, and advanced networking, coupled with his leadership in projects and professional service, make him an outstanding candidate for the Best Researcher Award. Addressing minor areas for improvement, such as broadening his research scope and enhancing global collaboration, could further solidify his position as a leader in the field. Overall, he is highly deserving of this recognition.

Publications Top Noted

  • A comprehensive review on deep learning-based methods for video anomaly detection
    Authors: R Nayak, UC Pati, SK Das
    Journal: Image and Vision Computing
    Year: 2021
    Citations: 268
  • Time series based air pollution forecasting using SARIMA and prophet model
    Authors: KKR Samal, KS Babu, SK Das, A Acharaya
    Conference: Proceedings of the 2019 International Conference on Information Technology
    Year: 2019
    Citations: 158
  • Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach
    Authors: KKR Samal, KS Babu, SK Das
    Journal: Urban Climate
    Year: 2021
    Citations: 74
  • An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach
    Authors: KKR Samal, AK Panda, KS Babu, SK Das
    Journal: Sustainable Cities and Society
    Year: 2021
    Citations: 47
  • Temporal convolutional denoising autoencoder network for air pollution prediction with missing values
    Authors: KKR Samal, KS Babu, SK Das
    Journal: Urban Climate
    Year: 2021
    Citations: 44
  • Swin transformer based vehicle detection in undisciplined traffic environment
    Authors: P Deshmukh, GSR Satyanarayana, S Majhi, UK Sahoo, SK Das
    Journal: Expert Systems with Applications
    Year: 2023
    Citations: 42
  • Critical review on slope monitoring systems with a vision of unifying WSN and IoT
    Authors: DK Yadav, S Jayanthu, SK Das, S Chinara, P Mishra
    Journal: IET Wireless Sensor Systems
    Year: 2019
    Citations: 36
  • Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites
    Authors: KKR Samal, AK Panda, KS Babu, SK Das
    Journal: Urban Climate
    Year: 2021
    Citations: 35
  • Video-based real-time intrusion detection system using deep-learning for smart city applications
    Authors: R Nayak, MM Behera, UC Pati, SK Das
    Conference: 2019 IEEE International Conference on Advanced Networks and
    Year: 2019
    Citations: 32
  • A vehicle detection technique using binary images for heterogeneous and lane-less traffic
    Authors: GSR Satyanarayana, S Majhi, SK Das
    Journal: IEEE Transactions on Instrumentation and Measurement
    Year: 2021
    Citations: 31
  • Design of real-time slope monitoring system using time-domain reflectometry with wireless sensor network
    Authors: DK Yadav, G Karthik, S Jayanthu, SK Das
    Journal: IEEE Sensors Letters
    Year: 2019
    Citations: 31
  • Observation of multiphonon transverse wobbling in 133Ba
    Authors: KR Devi, S Kumar, N Kumar, FS Babra, MSR Laskar, S Biswas, S Saha, …
    Journal: Physics Letters B
    Year: 2021
    Citations: 30

Manila Mallik | Engineering | Best Researcher Award

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Dr. Manila Mallik | Engineering | Best Researcher Award

Assistant Professor at VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY, BURLA, India

Dr. Manila Mallik is an accomplished academic and researcher in the field of Metallurgical and Materials Engineering. She earned her Ph.D. from the Indian Institute of Technology, Kharagpur, in 2016, with a focus on lead-free solder materials and their characterization. With a solid background in various areas including thin films, nanomaterials, electrochemistry, and industrial waste utilization, Dr. Mallik has actively contributed to both research and teaching. She has published several research papers in renowned journals, presented at numerous national and international conferences, and is an expert in materials characterization techniques like X-ray diffraction, SEM, and atomic force microscopy. Currently, she serves as an Assistant Professor at Veer Surendra Sai University of Technology, Burla, and has guided several Ph.D. and M.Tech students. Dr. Mallik is also known for her involvement in organizing seminars, workshops, and academic events, and has received multiple awards for her contributions to the field.

Professional Profile 

Education

Dr. Manila Mallik’s educational journey reflects her dedication to the field of Metallurgical and Materials Engineering. She completed her Bachelor of Technology (B.Tech) in Metallurgical Engineering from the National Institute of Technology, Rourkela, in 2009, where she developed a strong foundation in materials science. Dr. Mallik then pursued her Master’s degree (M.Tech) in Metallurgical Engineering from the Indian Institute of Technology (IIT) Kharagpur, graduating in 2011. Her exceptional academic performance led her to continue her research at IIT Kharagpur, where she completed her Ph.D. in 2016. Her doctoral research focused on lead-free solder materials, where she extensively studied their mechanical properties and characterization techniques. Throughout her academic career, Dr. Mallik has been committed to advancing her knowledge and expertise in materials science, contributing significantly to both her research field and the education of future engineers and researchers.

Professional Experience

Dr. Manila Mallik has extensive professional experience in the field of Metallurgical and Materials Engineering, with a focus on both academia and industry. She began her career as a Lecturer in the Department of Metallurgical Engineering at the National Institute of Technology (NIT), Rourkela, where she contributed to teaching and research from 2011 to 2014. Following her doctoral studies, Dr. Mallik worked as an Assistant Professor at the same institution, where she continued to teach and mentor undergraduate and postgraduate students while advancing her research on materials science. Her expertise in lead-free solder materials led her to collaborate on several research projects, including industry-sponsored work. Dr. Mallik has also held various academic roles such as research coordinator and has published numerous papers in international journals and conferences. Her career is distinguished by her commitment to bridging the gap between academic research and practical applications in materials engineering.

Research Interest

Dr. Manila Mallik’s research interests lie at the intersection of materials science, metallurgy, and engineering, with a particular focus on the development and evaluation of lead-free solder materials. Her work investigates the mechanical, thermal, and microstructural properties of these materials, exploring alternatives to traditional lead-based solders for use in electronics and other industrial applications. Dr. Mallik is also interested in the design and optimization of advanced materials for electronic and energy-efficient devices, emphasizing their durability and performance under various operating conditions. Her research extends to areas such as corrosion behavior, fatigue analysis, and material degradation, particularly in the context of environmentally sustainable materials. Additionally, Dr. Mallik explores the impact of processing techniques on the properties of materials, utilizing computational modeling and experimental approaches to enhance material performance. Her research aims to contribute to the development of safer, more reliable materials for a wide range of technological and industrial applications.

Award and Honor

Dr. Manila Mallik has received numerous awards and honors in recognition of her significant contributions to the fields of materials science and metallurgy. Her research on lead-free solder materials and sustainable engineering practices has earned her accolades at both national and international levels. Dr. Mallik was awarded the prestigious Young Scientist Award for her innovative work on materials development in electronic devices. Additionally, she has been recognized with the Excellence in Research Award for her pioneering research in the field of corrosion behavior and materials degradation. Her work has been widely published in high-impact journals, and she has received the Best Paper Award for several of her research articles. Dr. Mallik’s outstanding academic achievements have also earned her scholarships and grants from prominent research organizations. These awards reflect her dedication to advancing sustainable engineering solutions and her ongoing commitment to driving innovations that benefit society and industry alike.

Conclusion

Dr. Manila Mallik exhibits a solid academic background, diverse research interests, and strong hands-on technical expertise, making her a strong candidate for the Best Researcher Award. Her contributions to materials science, particularly in lead-free solder materials and nanocomposites, demonstrate her commitment to addressing global challenges through scientific innovation. With continued growth in industry partnerships, interdisciplinary research, and public outreach, Dr. Mallik has the potential to further elevate her already impressive career, contributing even more significantly to both academia and industry.

Publications Top Noted

  • Title: Substrate effect on electrodeposited copper morphology and crystal shapes
    Authors: S Banthia, S Sengupta, M Mallik, S Das, K Das
    Year: 2018
    Citation: 39
  • Title: Effect of current density on the nucleation and growth of crystal facets during pulse electrodeposition of Sn–Cu lead-free solder
    Authors: M Mallik, A Mitra, S Sengupta, K Das, RN Ghosh, S Das
    Year: 2014
    Citation: 35
  • Title: Investigation on lithium conversion behavior and degradation mechanisms in Tin based ternary component alloy anodes for lithium ion batteries
    Authors: S Sengupta, A Mitra, PP Dahiya, A Kumar, M Mallik, K Das, SB Majumder, …
    Year: 2017
    Citation: 19
  • Title: Effect of anodic passivation at high applied potential difference on the crystal shape and morphology of copper electrodeposits: thermodynamics and kinetics of …
    Authors: A Mitra, M Mallik, S Sengupta, S Banthia, K Das, S Das
    Year: 2017
    Citation: 15
  • Title: Corrosion inhibition behavior of dual phase steel in 3.5 wt% NaCl solution by Carica papaya peel extracts
    Authors: S Sahoo, S Nayak, D Sahoo, M Mallik
    Year: 2019
    Citation: 8
  • Title: Potential utilization of LD slag and waste glass in composite production
    Authors: M Mallik, S Hembram, D Swain, G Behera
    Year: 2020
    Citation: 7
  • Title: Pseudo lamellae of Cu6Sn5 on the crystal facet of Sn in electrodeposited eutectic Sn-Cu lead-free solder
    Authors: M Mallik, K Das, RN Ghosh, S Das
    Year: 2024
    Citation: 3
  • Title: Effect of temperature and pressure on diffusivity of nitinol pellet bonded with steel plate
    Authors: I Tripathy, SP Rout, M Mallik
    Year: 2020
    Citation: 3
  • Title: Production of copper powder by electrodeposition with different equilibrium crystal shape
    Authors: B Nanda, M Mallik
    Year: 2020
    Citation: 2
  • Title: Fatigue Crack Initiation and Growth Behavior of 7475 Aluminium Alloy in Air and Aggressive Environment
    Authors: RPK Verma B.B., Mallik Manila, Atkinson John D
    Year: 2012
    Citation: 2
  • Title: Effect of microstructure on the indentation creep behaviour of 2.25 Cr-1Mo and its comparison with modified 9Cr-1Mo ferritic steel
    Authors: M Mallik
    Year: 2011
    Citation: 2
  • Title: Effect of Cetyl Trimethyl ammonium bromide (CTAB) amount on the Nanoindentation creep behaviour of Sn-cu-Y2O3 nanocomposite Lead-free solder
    Authors: M Mallik, K Das, RN Ghosh, S Das
    Year: 2024
    Citation: 1
  • Title: 3D Printing of Smart Materials: A Path toward Evolution of 4D Printing
    Authors: M Mallik
    Year: 2022
    Citation: 1
  • Title: Electrochemical behavior of 250-grade maraging steel by using Cascabela Thevetia as an organic inhibitor
    Authors: S Sahoo, AA Sahu, A Pradhan, SR Barik, A Mohanty, M Mallik
    Year: 2024
    Citation: 1
  • Title: Synthesis of hydroxyapatite nanocomposite coating by electrodeposition route: a state of the art review
    Authors: BK Karali, S Das, G Behera, M Mallik
    Year: 2024
    Citation: 1
  • Title: Flexible PMN-PT/rGO/PVDF-TrFE based composites for triboelectric and piezoelectric energy harvesting
    Authors: S Das, M Mallik, K Parida, N Bej, J Baral
    Year: 2024
    Citation: 1
  • Title: Microstructural characteristics of flexible ceramics
    Authors: S Das, K Parida, N Bej, M Mallik
    Year: 2023
    Citation: 1

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

TABASUM GULEDGUDD | Engineering | Best Researcher Award

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TABASUM GULEDGUDD | Engineering | Best Researcher Award

Ms TABASUM GULEDGUDD, SECAB INSTITUTE OF ENGINEERING AND TECHNOLOGY, India

Tabasum Guledgudd is an Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, with over 12 years of experience in teaching and academic administration. She has contributed to NBA accreditation, organizing workshops, faculty recruitment, and guiding students on government-funded projects. Her research interests include IoT-based health monitoring systems, VLSI, and Embedded Systems. She has published articles in prominent journals, such as the African Journal of Biomedical Research and the African Journal of Science, Technology, Innovation, and Development. She is also actively involved in workshops and FDPs. 📚💡🖥️🎓

Publication Profile

Orcid

Academic Profile 

Tabasum holds a Bachelor’s degree in Electronics and Communication Engineering (2007) from Visvesvaraya Technology University, Belagavi, and an M.Tech. in VLSI & Embedded Systems (2013) from Jawaharlal Nehru Technological University, Hyderabad. Currently, she is pursuing her Ph.D. (Part-time) in Artificial Intelligence and Machine Learning (AIML) for decision-making in IoT-based health monitoring systems. She successfully completed her comprehensive viva in 2018. With a strong academic background and a focus on advanced technologies, Tabasum is dedicated to exploring innovative solutions in the intersection of AI, IoT, and healthcare. 💻🤖📡📊🎓

Employment Record

Ms. Tabasum Guledgudd is currently serving as the Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, since July 27, 2013. With extensive experience in academia, she has previously worked as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, both from January to May 2012 and from January to December 2010. Her dedication to teaching and leadership in the field of Electronics and Communication Engineering continues to inspire students and contribute to the institution’s growth. 📚👩‍🏫📡

Research Experience

Ms. Tabasum Gulegdudd has made significant contributions to academic research, with notable publications in reputable journals. In 2024, she published a comparative study on machine learning algorithms for leukemia diagnosis in the African Journal of Biomedical Research, showcasing her expertise in medical technology. Additionally, she authored a comprehensive review of integrated technologies in the Internet of Health Things (IoHT) applications, featured in the African Journal of Science, Technology, Innovation, and Development. These works highlight her dedication to advancing research and her commitment to improving healthcare through innovative technological applications. 📚💻🩺📈

Previous Employment 

Tabasum Guledgudd is an experienced academic professional who previously served as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, from January 2009 to May 2012. Before joining SECAB Institute of Engineering and Technology, she honed her teaching skills and gained valuable experience in academic administration. During her tenure, she developed a strong foundation in education, contributing to the academic growth of her students. Her passion for teaching and leadership has made her a valuable asset in the field of engineering education. 📚👩‍🏫🏫🌟

Current Employment 

Ms. Tabasum Guledgudd is an Assistant Professor and Head of the Department at SECAB Institute of Engineering and Technology in Vijayapur, where she has served since July 27, 2013. Under her leadership, the department successfully received NBA accreditation in August 2019. She oversees key administrative and academic responsibilities, including faculty recruitment and lab establishment. Additionally, she plays an essential role in organizing technical and research-oriented workshops for students and faculty. Her dedication to improving both academic and administrative functions has significantly contributed to the department’s growth and development. 🎓📚🏫🔧👩‍🏫

Research Focus

Tabasum Guledgudd’s research focuses on enhancing machine learning techniques for medical applications, particularly in leukemia diagnosis. Her work involves comparing various algorithms, including K-Means, Gaussian Mixture Models (GMM), Support Vector Machines (SVM), and Random Forest, to improve diagnostic accuracy in biomedical contexts. She has also contributed to the review of integrated technologies in the Internet of Health Things (IoHT), exploring how cutting-edge innovations can be applied to health monitoring and diagnostics. Her research is significant for advancing AI-driven solutions in healthcare. 💻🩺📊💡

Publication Top Notes

A Comparative Study of K-Means, GMM, SVM, and Random Forest for Enhancing Machine Learning in Leukemia Diagnosis

A comprehensive review: State of art integrated technologies in IoHT applications

Assist Prof Dr. Eman Mustafa | Textile Engineering | Women Researcher Award

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Assist Prof Dr. Eman Mustafa | Textile Engineering | Women Researcher Award

Assist. Prof. Dr. Eman Mustafa is an accomplished academic in the field of Textile Engineering. She is currently serving as an Assistant Professor at [Institution Name] where she focuses on advancing textile technologies and sustainable practices. Dr. Mustafa’s research includes innovative approaches to textile materials and processes, emphasizing eco-friendly and high-performance solutions. Her contributions to the field have been recognized through numerous publications and presentations at international conferences. Dr. Mustafa is dedicated to promoting gender diversity and supporting women in research, making her a distinguished candidate for the Women Researcher Award.

Publication Profile

Scoopus Profile

🎓 Academic and Career Background

Assist. Prof. Dr. Eman Mustafa is an Assistant Professor at the Faculty of Technology and Education, Textile Department, Suez University, where she has been contributing her expertise since April 2022. She earned her Ph.D. in Textile Engineering from Alexandria University in January 2022 and a diploma in Applied Statistics from Cairo University’s Faculty of Graduate Studies for Statistical Research in July 2022. Prior to her current role, Dr. Mustafa served as an Assistant Lecturer at Suez University from July 2018 to March 2022 and as an Assistant Researcher at the National Research Center’s Textile Department from July 2017 to June 2018. She also has experience as a Textile Technical Examiner for patent applications at the Egyptian Patent Office from April 2013 to June 2017. Dr. Mustafa holds a Master’s degree in Textile Engineering from Alexandria University (2015) and a Bachelor’s degree in Textile Engineering from the same institution (2010). She furthered her knowledge in Intellectual Property through a diploma at Helwan University (2017).

💼 Work Experience

Assist. Prof. Dr. Eman Mustafa has made significant contributions to the field of Textile Engineering through her diverse roles and achievements. At the Egyptian Patent Office (April 2013 – June 2017), she was responsible for the technical examination of textile patent applications, conducting searches in various databases, evaluating search results, and making decisions on patent grants. As a Research Assistant at the National Research Center (July 2017 – June 2018), Dr. Mustafa conducted textile tests on woven samples, contributed to departmental projects, and actively participated in conferences and scientific meetings. Since joining the Faculty of Technology and Education, Suez University in August 2018, she has served as an Assistant Lecturer and is now an Assistant Professor, continuing her impactful work in both teaching and research in the Textile Department.

Training Courses

Assist. Prof. Dr. Eman Mustafa is a prominent figure in Textile Engineering, serving as a lecturer on specialized subjects and principles of statistics, and as an editor for the Industrial Technology Journal (ITJ), currently in its first issue under publishing procedures. She is actively involved in department quality tasks, contributing to the advancement of educational standards. Dr. Mustafa’s professional development includes a range of certifications and courses: an International Computer Driving License (March 2013), General and Advanced Courses on Intellectual Property (July-November 2013, May-August 2014), and an Introduction to MATLAB course from Cairo University (August 2014). Additionally, she completed Statistical Data Analysis using SPSS at the Institute of Statistical Studies and Research (May 2015), and participated in training on scientific publishing and research development at the National Research Centre and Suez University (January-May 2018, July 2020, September 2020). Her most recent certification includes Fundamental Digital Transformation from Suez University (April 2021).

Publications:
  • Abd El-Aziz, M., Mohamed, A., & Mustafa, E. (2024). Effect of abrasion level on surface handling and thermal conductivity of blended suit fabrics. The Journal of The Textile Institute. (Accepted and sent to production).

 

  • Mustafa, E., Malek, A. S., El Gholmy, S., El Geiheini, A., & Elkateb, S. (2023). Prediction of fabric stiffness based on fabric construction. Industrial Technology Journal, 1(1), pp. 21-32.

 

  • Elkateb, S., Mustafa, E., El Gholmy, S., El Geiheini, A., & Malek, A. S. (2022). Prediction of fabric pilling tendency based on blended worsted fabric construction. The Journal of The Textile Institute, 114(5), pp. 782-789.

 

  • Mustafa, E., Malek, A. S., El Gholmy, S., El Geiheini, A., & Elkateb, S. (2022). A statistical prediction model for pilling grades of blended worsted fabrics based on fabric bending rigidity. Alexandria Engineering Journal, 61(12), pp. 11615-11621.

 

  • Mustafa, E., Malek, A. S., El Gholmy, S., & El Geiheini, A. (2021). Prediction of fabric pilling propensity of woven worsted fabrics based on regression analysis and artificial neural networks. The 14th Textile Bioengineering and Informatics Symposium.

 

  • Mustafa, E. (2017). Optimization of production planning in the apparel industry. 8th International Conference of Textile Research Division, National Research Center, 25-27 September 2017.

 

  • Mustafa, E., Elkateb, S., & El Geiheini, A. (2015). Defect detection in the garment industry by ANN. 5th SmartTex Conference, Kafr El-Sheikh University, 2015.

 

Chuang Qian | Engineering | Best Researcher Award

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Dr. Chuang Qian| Engineering | Best Researcher Award

Dr.  Chuang Qian Wuhan University of Technology,  China

Chuang Qian is a dedicated researcher specializing in GNSS Ground-Based Augmentation, Multi-source Fusion Navigation, and LiDAR-Based Environment Perception. Holding a Postdoctoral position at Wuhan University’s GNSS Center, he has published 20 SCI/EI papers, with 6 as the first author and 2 as a corresponding author. His work extends to multiple research projects and 3 patent applications. With a solid educational background, including a Ph.D. and Master’s from Wuhan University, he has demonstrated expertise in high-precision GNSS data, SLAM, and C/C++ programming. His innovative research impacts vehicle navigation, environmental perception, and geodesy.

Publication Profile

Scopus

Orcid

 

Research for Best Researcher Award Evaluation

Strengths for the Award 🌟

  1. Diverse and Cutting-Edge Research Topics: Chuang Qian’s research covers a range of advanced topics in navigation and sensing technologies, including GNSS augmentation, multi-source fusion navigation, and LiDAR-based perception. His work on integrating GNSS/INS/LiDAR data and V2V-based positioning showcases his expertise in complex, multi-dimensional research areas.
  2. Significant Publications: Qian has published 20 SCI/EI papers, with 6 as the first author and 2 as the corresponding author. This demonstrates his leadership in research and ability to contribute significant findings to the field. The high number of publications in reputable journals highlights his commitment to advancing knowledge in his areas of expertise.
  3. Patents and Practical Impact: The application of 3 patents reflects his ability to translate research into practical solutions. This aspect of his work indicates a strong potential for real-world impact and innovation.
  4. Extensive Research Projects: Leading and participating in multiple high-profile projects, such as intelligent vehicle control and mobile forest tomography, shows his active involvement in cutting-edge research and his ability to manage complex projects effectively.
  5. Strong Academic Background: Qian’s educational journey from a Bachelor’s to a Postdoctoral level at Wuhan University, particularly within the GNSS Center, provides a solid foundation for his research work. His progression through various academic levels indicates a deep and comprehensive understanding of his field.

Areas for Improvement 🔍

  1. Broader Impact and Collaboration: While Qian’s individual achievements are substantial, there is potential for greater impact through broader collaborations with other institutions or industries. Expanding his research network could enhance the applicability and influence of his findings.
  2. Public Engagement and Dissemination: Increasing the visibility of his research through additional high-impact journals, popular science articles, or public lectures could help disseminate his findings to a wider audience. Engaging with the public or industry through talks or media could further amplify the impact of his work.
  3. Language Skills: While Qian’s English proficiency is adequate (IELTS 6.0), further improving his language skills could enhance his ability to collaborate internationally and communicate his research effectively to a global audience.
  4. Interdisciplinary Research: Exploring interdisciplinary approaches by integrating his research with other fields, such as machine learning or artificial intelligence, could open new avenues for innovation and enhance the scope of his projects.

🗺️ Research Interests

GNSS Ground-Based Augmentation. GNSS/LEO Satellite-Based Augmentation. GNSS/INS/LiDAR/Camera Multi-source Fusion Navigation LiDAR-Based Environment Perception. V2V-Based Multi-source Collaborative Positioning

🏆 Achievements

20 SCI/EI Papers (6 as First Author, 2 as Corresponding Author), 3 Patents Applied, Host or Participate in Multiple Research Projects

🎓 Education

Wuhan University (2018.6 – Present) Postdoctoral, GNSS Center. Wuhan University (2013.9 – 2018.6) Ph.D., GNSS Center. Wuhan University (2011.9 – 2013.6) Master’s, GNSS Center. Wuhan University (2007.9 – 2011.6) Bachelor’s, School of Geodesy and Geomatics

📂 Projects

The Theory and Test Verification for the Intelligent Control of Vehicle Group under the Vehicle-Road Collaborative Environment. Satellite Navigation Enhanced Theory and Technology Joint Laboratory. Navigation and Environment Perception Technology for Logistics Vehicles. Mobile Forest Tomography: Interaction of LiDAR/Radar Beams with Forests Using Mini-UAV and Mobile Forest Tomography. Research on LiDAR and Visual-Aided Lane-Level

🛠️ Skills

  • Professional Knowledge: High-precision GNSS data post-processing (GAMIT), CORS, RTK, PPP, SLAM, etc.
  • Professional Skills: C/C++, Windows/Linux, VS/Matlab
  • Language Skills: English (IELTS 6.0)

 

Publication Top Notes

  • Robust Finite-Time Sliding Mode Control of Unmanned Surface Vehicle with Active Compensation of Pose Estimation Uncertainty
    • Authors: J. Meng, H. Tan, L. Jiang, Z. Hu, G. Li
    • Journal: Ocean Engineering
    • Year: 2024
    • Volume: 304
    • Article ID: 117831
    • Citations: 0

 

  • A LiDAR–INS-Aided Geometry-Based Cycle Slip Resolution for Intelligent Vehicle in Urban Environment with Long-Term Satellite Signal Loss
    • Authors: H. Zhang, C. Qian, W. Li, B. Li, H. Liu
    • Journal: GPS Solutions
    • Year: 2024
    • Volume: 28
    • Issue: 2
    • Article ID: 61
    • Citations: 2

 

  • A Hybrid LSTM Network for Long-Range Vehicle Trajectory Prediction Based on Adaptive Chirp Mode Decomposition
    • Authors: Z. Wang, H. Zhang, C. Qian, Y. Cao, M. Jiang
    • Journal: IEEE Sensors Journal
    • Year: 2024
    • Volume: 24
    • Issue: 4
    • Pages: 5359-5369
    • Citations: 1

 

  • A Vision-Aided RTK Ambiguity Resolution Method by Map Lane Matching for Intelligent Vehicle in Urban Environment
    • Authors: H. Zhang, C. Qian, W. Li, B. Li
    • Journal: International Journal of Digital Earth
    • Year: 2024
    • Volume: 17
    • Article ID: 2383479
    • Citations: 0

 

  • Tightly Coupled Integration of Vector HD Map, LiDAR, GNSS, and INS for Precise Vehicle Navigation in GNSS-Challenging Environment
    • Authors: H. Zhang, C. Qian, W. Li, B. Li, H. Liu
    • Journal: Geo-Spatial Information Science
    • Year: 2024
    • Citations: 0

 

  • Vehicle High-Precision Positioning Considering Communication Delay for Intelligent Vehicle-Infrastructure Cooperation System
    • Authors: H. Zhang, C. Qian, Q. Zhao, W. Li, B. Li
    • Journal: Acta Geodaetica et Cartographica Sinica
    • Year: 2024
    • Volume: 53
    • Issue: 1
    • Pages: 101-117
    • Citations: 0

 

Conclusion 🏆

Chuang Qian is a strong candidate for the Research for Best Researcher Award due to his extensive contributions to advanced navigation and sensing technologies, demonstrated leadership in research, and significant publication record. His work is impactful and innovative, with practical applications in various domains. To further enhance his candidacy, Qian could focus on expanding his collaborations, increasing public and international engagement, and exploring interdisciplinary research opportunities.

 

 

Seokhwan Lee | Engineering | Best Researcher Award

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Dr. Seokhwan Lee | Engineering |Best Researcher Award

Dr at Korea Institute of Machinery and Materials,  South Korea

Dr. Seokhwan Lee is a Principal Researcher at the Korea Institute of Machinery and Materials, specializing in eco-friendly energy conversion technologies. With a Ph.D. in Mechanical Engineering from KAIST, his research primarily focuses on combustion, emission characteristics, and fuel efficiency improvements in internal combustion engines. He has authored numerous publications in high-impact journals, addressing topics such as thermal shock quantification, fuel-spray characteristics, and particulate emissions from various engine types. Dr. Lee is also an active member of several professional societies, including the Korea Society of Automotive Engineers and the Society of Automotive Engineers.

 

 

Profile

scopus

Orcid

🎓Education:

Ph.D. in Mechanical Engineering, KAIST, 2005. M.S. in Mechanical Engineering, KAIST, 2001. B.S. in Mechanical Engineering, KAIST, 1999

🔍Research Experience:

Principal Researcher, Korea Institute of Machinery and Materials (2006–present) . Research Associate, KAIST Combustion Engineering Research Center (2005–2006). Visiting Scholar, University of Michigan (2003–2004)

Professional Affiliations:

Korea Society of Automotive Engineers Korea Society of Atmospheric Environment. Korea Association for Particle and Aerosol Research. Society of Automotive Engineers

🌟 Strengths for the Award

  1. Extensive Research Experience: Dr. Lee has over 18 years of research experience at prestigious institutions, including Korea Institute of Machinery and Materials and KAIST. His work covers a broad range of topics in mechanical engineering, particularly in combustion, emissions, and heat exchange.
  2. Diverse and Impactful Publications: He has published over 40 research papers in reputable journals and conferences, contributing significantly to the fields of fuel economy, emissions, and particulate matter. His research addresses both fundamental and applied aspects, demonstrating a strong impact on the field.
  3. International Collaborations: Dr. Lee’s work includes collaborations with renowned international institutions, such as the University of Michigan, enhancing the global reach and credibility of his research.
  4. Innovative Research: His research on exhaust heat exchangers, catalytic converters, and alternative fuels reflects innovation and a commitment to solving complex engineering problems related to energy efficiency and environmental impact.
  5. Awards and Recognition: Dr. Lee’s extensive publication record and research contributions suggest recognition by peers in the form of citations and accolades, showcasing his research’s impact and relevance.

 Areas for Improvement

  1. Visibility and Impact: While Dr. Lee has a strong publication record, further enhancing the visibility of his work through high-impact journals and wider dissemination could amplify his research’s reach and influence.
  2. Cross-disciplinary Integration: Exploring research that integrates mechanical engineering with other fields, such as environmental science or policy, could broaden the scope and applicability of his work.
  3. Leadership and Mentoring: Increasing involvement in mentoring emerging researchers and leading collaborative projects could further demonstrate leadership and contribute to the development of the next generation of researchers.

📚  Publications

  • Effect of Various Diesel Injection Timings on Combustion, Efficiency and Emissions by Using the Double-row Nozzle with Narrow and Wide Angles in a 6L Diesel Engine
    • Authors: Sechul Oh, Junho Oh, Hyeongjun Jang, Seokhwan Lee, Sunyoup Lee, Changgi Kim, Jeongwoo Lee
    • Journal: Transaction of the Korean Society of Automotive Engineers
    • Publication Date: 2023-01-01
    • DOI: 10.7467/KSAE.2023.31.1.061

 

  • Effects of Piston Shape and Nozzle Specifications on Part-Load Operation of Natural Gas–Diesel Dual-Fuel RCCI Engine and Its Application to High Load Extension
    • Authors: Sechul Oh, Junho Oh, Hyeong-Jun Jang, Seokhwan Lee, Sunyoup Lee, Changgi Kim, Jeongwoo Lee
    • Journal: Fuel
    • Publication Date: 2022-11
    • DOI: 10.1016/j.fuel.2022.125361

 

  • Real-Time Detection of Vehicle-Originated Condensable Particulate Matter through Thermodenuder Integrated Aerosol Measurement Method at Tailpipes
    • Authors: Giwon Kang, Kyungil Cho, Jiyoon Shin, Soodong Lee, Seung-Bok Lee, Sang-Hee Woo, Seokhwan Lee, Changhyuk Kim
    • Journal: Environmental Research
    • Publication Date: 2022-09
    • DOI: 10.1016/j.envres.2022.113487

 

  • Development of Dust Collectors to Reduce Brake Wear PM Emissions
    • Authors: Sang-Hee Woo, Gunhee Lee, Bangwoo Han, Seokhwan Lee
    • Journal: Atmosphere
    • Publication Date: 2022-07-15
    • DOI: 10.3390/atmos13071121

 

  • Characterization of Brake Particles Emitted from Non-Asbestos Organic and Low-Metallic Brake Pads under Normal and Harsh Braking Conditions
    • Authors: Sang-Hee Woo, Hyungjoon Jang, Min Young Na, Hye Jung Chang, Seokhwan Lee
    • Journal: Atmospheric Environment
    • Publication Date: 2022-06
    • DOI: 10.1016/j.atmosenv.2022.119089

 

  • Chemical Leaching from Tire Wear Particles with Various Treadwear Ratings
    • Authors: Yoonah Jeong, Seokhwan Lee, Sang-Hee Woo
    • Journal: International Journal of Environmental Research and Public Health
    • Publication Date: 2022-05-15
    • DOI: 10.3390/ijerph19106006

 

  • Characteristics of Brake Wear Particle (BWP) Emissions under Various Test Driving Cycles
    • Authors: Sang-Hee Woo, Yongrae Kim, Sunyoup Lee, Young Choi, Seokhwan Lee
    • Journal: Wear
    • Publication Date: 2021-09
    • DOI: 10.1016/j.wear.2021.203936

 

  • Measuring Method of Non-Exhaust PM Generated by Brake Wear
    • Authors: Sang-Hee Woo, Yongrae Kim, Young Choi, Sunyoup Lee, Seokhwan Lee
    • Journal: Transaction of the Korean Society of Automotive Engineers
    • Publication Date: 2020-10-01
    • DOI: 10.7467/KSAE.2020.28.10.701

 

  • Characteristic of Brake Wear Particles under Various Test Driving Cycles
    • Authors: Sang-Hee Woo, Yongrae Kim, Sunyoup Lee, Young Choi, Seokhwan Lee
    • Journal: Journal of Korean Society for Atmospheric Environment
    • Publication Date: 2020-06-30
    • DOI: 10.5572/KOSAE.2020.36.3.346

 

 

🏆 Conclusion

Dr. Seokhwan Lee is highly suitable for the Best Researcher Award due to his extensive research experience, impactful publications, and innovative contributions to mechanical engineering. His work addresses critical issues in energy conversion and emissions, reflecting both academic excellence and practical relevance. To strengthen his candidacy further, focusing on increasing the visibility of his research and exploring interdisciplinary opportunities would be beneficial. Overall, Dr. Lee’s qualifications and achievements make him a strong candidate for this prestigious award.

 

Hossam Khalilِ | Engineering | Best Researcher Award

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 Dr. Hossam Khalilِ| Engineering | Best Researcher Award

Dr. Hossam Khalil is an Assistant Professor in Mechatronics at October 6 University and Menoufia University. With a Ph.D. in Mechatronics Engineering from Gwangju Institute of Science and Technology, his research focuses on robotics, vibration measurement, and control engineering. His Ph.D. thesis developed non-contact vibration measurement techniques for high-speed rotating structures. Dr. Khalil’s M.Sc. research centered on predictive control of dynamic systems using Support Vector Machines. He has authored numerous publications on advanced vibration measurement and control and has presented at international conferences. His teaching interests include control systems, robotics, and signal processing.

Profile

Scholar

 

🎓 Education:

PhD in Mechatronics Engineering (2012-2018), Gwangju Institute of Science and Technology, South Korea. M.Sc. in Industrial Electronics and Control Engineering (2008-2010), University of Menoufia, Egypt. B.Sc. in Industrial Electronics and Control Engineering (1999-2004), University of Menoufia, Egypt

🏫 Academic Employment:

Assistant Professor (Sep 2023 – Present), October 6 University, Egypt. Assistant Professor (May 2018 – Sep 2023), Menoufia University, Egypt. Part-time Lecturer (Sep 2020 – Jul 2021), High Institute for Engineering & Technology at Obour, Egypt. Assistant Lecturer/Researcher (Jan 2011 – Feb 2012), Menoufia University, Egypt. Teaching Assistant (Oct 2007 – Dec 2010), Menoufia University, Egypt

🏆 Honors and Awards:

2004 Excellence Award for best grades in Industrial Electronics and Control Engineering, Menoufia University. 2004 Excellence Award from Egyptian Engineers Syndicate

🔬 Research Interests:

  • Robotics and Control Engineering
  • Vibration Measurement and Control

Strengths for the Award 🏆

Expertise in Cutting-Edge Fields: Hossam Khalil’s research in robotics, control engineering, and vibration measurement is highly specialized. His PhD thesis on non-contact vibration measurement of high-speed rotating structures and his M.Sc. thesis on modeling and control using Support Vector Machines (SVM) showcase advanced knowledge in these critical areas. Innovative Contributions: Khalil has made significant contributions with his work on image-based tracking systems and non-contact vibration measurement using laser scanning vibrometers. His publications and presentations reflect a commitment to advancing technology and practical applications in his field. Strong Publication Record: With multiple peer-reviewed journal articles and conference presentations, Khalil demonstrates a consistent output of high-quality research. His recent publications in reputed journals like the Ain Shams Engineering Journal and the International Journal of Precision Engineering and Manufacturing highlight his ongoing impact. Teaching and Mentorship: His extensive teaching experience across various relevant courses, such as intelligent control systems and mechatronics, underlines his dedication to education and mentorship in engineering. Awards and Recognition: Khalil has been recognized for his academic achievements with awards such as the Excellence Award from Menoufia University and the Egyptian Engineers Syndicate.

Areas for Improvement 🚀

Broader Research Impact: While Khalil has made notable contributions to specific areas, expanding his research impact to more diverse or interdisciplinary fields could enhance his recognition further. Collaboration and Networking: Increased collaboration with international research groups and participation in more global conferences could broaden his influence and provide new opportunities for his work to be showcased.. Research Translation: Focusing on the practical applications of his research and translating them into commercial or industrial applications could strengthen his profile as an influential researcher.

 

📚  Publications

  • Title: Implementation of speed controller for rotary hydraulic motor based on LS-SVM
    • Journal: Expert Systems with Applications
    • Year: 2011
    • Volume: 38
    • Issue: 11
    • Pages: 14249-14256
    • Cited by: 38

 

  • Title: 3-D vibration measurement using a single laser scanning vibrometer by moving to three different locations
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2014
    • Volume: 63
    • Issue: 8
    • Pages: 2028-2033
    • Cited by: 34*

 

  • Title: Accuracy and noise analyses of 3D vibration measurements using laser Doppler vibrometer
    • Journal: Measurement
    • Year: 2016
    • Volume: 94
    • Pages: 883-892
    • Cited by: 29

 

  • Title: Optical derotator alignment using image-processing algorithm for tracking laser vibrometer measurements of rotating objects
    • Journal: Review of Scientific Instruments
    • Year: 2017
    • Volume: 88
    • Issue: 6
    • Cited by: 8

 

  • Title: Operational deflection shape of rotating object using tracking laser Doppler vibrometer
    • Conference: 2015 IEEE International Conference on Electronics, Circuits, and Systems
    • Year: 2015
    • Cited by: 8

 

  • Title: Image-based tracking system for rotating object vibration measurement using laser scanning vibrometer
    • Journal: International Journal of Precision Engineering and Manufacturing
    • Year: 2015
    • Volume: 16
    • Pages: 1717-1721
    • Cited by: 8

 

  • Title: Support vector machines based adaptive controller for piston hydraulic motor
    • Journal: International Journal of Control and Automation
    • Year: 2011
    • Volume: 4
    • Issue: 2
    • Pages: 31-50
    • Cited by: 5

 

  • Title: Offline modeling of nonlinear systems based on least squares support vector machines
    • Conference: 2009 International Conference on Computer Engineering & Systems
    • Year: 2009
    • Pages: 177-184
    • Cited by: 2

 

  • Title: Modal analysis of rotating plate using tracking laser Doppler vibrometer: algorithm modification
    • Conference: Fifth Asia-Pacific Optical Sensors Conference
    • Year: 2015
    • Volume: 9655
    • Pages: 297-300
    • Cited by: 1
  • Title: Optimal Fuzzy Precompensated TID controller for Nonlinear Dynamical Systems
    • Journal: Menoufia Journal of Electronic Engineering Research
    • Year: 2024
    • Pages: 1-8

 

  • Title: Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems
    • Journal: Ain Shams Engineering Journal
    • Year: 2024
    • Article Number: 102851

 

  • Title: Image-based tracking system for vibration measurement of a rotating object using a laser scanning vibrometer
    • Journal: AIP Conference Proceedings
    • Year: 2016
    • Volume: 1740
    • Issue: 1

 

  • Title: Tilt-Integral-Derivative-Acceleration (TIDA) Controller based on Grey Wolf Optimization Technique
    • Contributors: H Khalil, O Elshazly, M Abdallah, O Shaheen

 

  • Title: DEVELOPMENT OF THE NOVEL IMAGE-BASED TRACKING LASER SCANNING VIBROMETER
    • Contributors: D Kim, H Khalil, J Nam, K Park

Conclusion 🏅

Hossam Khalil is a strong candidate for the Best Researcher Award, given his expertise in advanced robotics and control engineering, significant contributions to vibration measurement technologies, and a proven track record of impactful research. His dedication to both research and teaching, coupled with his innovative work and awards, positions him as a deserving nominee. Further expanding his research impact and international collaborations could enhance his candidacy even more.

 

 

Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

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Dr. Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Dr at Mohan Babu University,  India

Thejasree Pasupuleti is an Associate Professor of Mechanical Engineering at Mohan Babu University, specializing in welding, machining processes, additive manufacturing, and materials processing. With a Ph.D. from Jawaharlal Nehru Technological University (2022) on laser beam welding of Inconel 718, he brings a robust background in both academic and industry settings. His career includes roles as Assistant Professor at Sree Vidyanikethan Engineering College and Scheduling Engineer at Amarraja Batteries Pvt Ltd. An expert in CAD/CAM, Thejasree Pasupuleti has contributed significantly to mechanical engineering education and research, focusing on advanced manufacturing techniques and material science.

profile:

Scopus

Orcid

Scholar

💼 Roles:

Associate Professor, Mechanical Engineering, Mohan Babu University, Former Assistant Professor, Mechanical Engineering, Sree Vidyanikethan Engineering College, Former Scheduling Engineer, Amarraja Batteries Pvt Ltd, Former Assistant Professor, SVCET

🔍 Research Interests:

  • Welding
  • Nontraditional/Traditional Machining Processes
  • Additive Manufacturing
  • Micro-Machining
  • Materials Processing

🎓 Education:

PhD in Mechanical Engineering (2022): Jawaharlal Nehru Technological University, Anantapur, Dissertation: Numerical and Experimental Investigation of Laser Beam Welded Inconel 718 Alloy Joints, M.E. in CAD/CAM (2013): Chadalawada Ramanamma Engineering College, B.Tech. in Mechanical Engineering (2006): S.V. University College of Engineering

💼 Work Experience:

Associate Professor: Mohan Babu University, 01/2023 – Present, Assistant Professor: Sree Vidyanikethan Engineering College, 06/2013 – 12/2022, Scheduling Engineer: Amarraja Batteries Pvt Ltd, 07/2008 – 01/2010, Assistant Professor: SVCET, 06/2007 – 07/2008

Publication:📝

  • Title: Optimization of wire spark erosion machining of Grade 9 titanium alloy (Grade 9) using a hybrid learning algorithm
    Authors: Natarajan, M., Pasupuleti, T., Giri, J., Mallik, S., Sathish, T.
    Journal: AIP Advances
    Year: 2024
    Volume: 14
    Issue: 1
    Article Number: 015319
    Citations: 3

     

    Title: Applications of Machine Learning in Supply Chain Management—A Review
    Authors: Thejasree, P., Manikandan, N., Vimal, K.E.K., Sivakumar, K., Krishnamachary, P.C.
    Book: Environmental Footprints and Eco-Design of Products and Processes
    Year: 2024
    Part: F1487
    Pages: 73-82
    Citations: 0

     

    Title: Applications of Artificial Intelligence Tools in Advanced Manufacturing
    Authors: Manikandan, N., Thejasree, P., Vimal, K.E.K., Sivakumar, K., Kiruthika, J.
    Book: Environmental Footprints and Eco-Design of Products and Processes
    Year: 2024
    Part: F1427
    Pages: 29-42
    Citations: 0

     

    Title: Requirements for the Adoption of Industry 4.0 in the Sustainable Manufacturing Supply Chain
    Authors: Sivakumar, K., Dhyankumar, C.T., Cherian, T.M., Manikandan, N., Thejasree, P.
    Book: Environmental Footprints and Eco-Design of Products and Processes
    Year: 2024
    Part: F1427
    Pages: 185-201
    Citations: 0

     

    Title: Machinability of Titanium Grade 5 Alloy for Wire Electrical Discharge Machining Using a Hybrid Learning Algorithm
    Authors: Natarajan, M., Pasupuleti, T., Giri, J., Mallik, S., Ray, K.
    Journal: Information (Switzerland)
    Year: 2023
    Volume: 14
    Issue: 8
    Article Number: 439
    Citations: 17

     

    Title: Assessment of Machining of Hastelloy Using WEDM by a Multi-Objective Approach
    Authors: Natarajan, M., Pasupuleti, T., Abdullah, M.M.S., Giri, P., Soleiman, A.A.
    Journal: Sustainability (Switzerland)
    Year: 2023
    Volume: 15
    Issue: 13
    Article Number: 10105
    Citations: 17

     

    Title: Mechanical Properties Test of Graphene Concrete Based on Fuzzy Control Algorithm
    Authors: Abdullah Hamad, A., Manikandan, N., Thejasree, P., Senkumar, M.R., Jain, S.K.
    Conference: 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023
    Year: 2023
    Pages: 164-168
    Citations: 0

     

    Title: Optimization Algorithm of Road and Bridge Engineering Construction Management Based on Ant Colony Neural Network
    Authors: Usha, V., Hamad, A.A., Manikandan, N., Biju, J., Chittapur, G.
    Conference: 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023
    Year: 2023
    Pages: 1393-1397
    Citations: 0