Ali Akbar Akhtari | Engineering | Excellence in Research

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Assoc. Prof. Dr Ali Akbar Akhtari | Engineering | Excellence in Research

Faculty member, Razi university, Kermanshah, Iran🏗️📚

Dr. Ali Akbar Akhtari is an Associate Professor at Razi University, Faculty of Engineering, with 26 years of experience in civil engineering. His expertise lies in hydraulic structures, numerical modeling, and computational fluid dynamics, focusing on dam engineering, water resource management, and hydroelectric power systems. Over the years, he has played a crucial role in designing and optimizing hydraulic structures, collaborating with industry experts to improve hydraulic efficiency. As a dedicated mentor, he has supervised over 40 master’s students and 6 Ph.D. graduates, many of whom have secured academic and research positions. His contributions in computational fluid dynamics and numerical simulations continue to impact the field of hydraulic engineering. ✨🔬

Profile

Google Scholar

Education 🎓📖

Dr. Akhtari obtained his Ph.D. in Civil Engineering (Water & Hydraulics) from Ferdowsi University of Mashhad, where he conducted research on free flow in sharp bends and the impact of middle separating walls (Vane) on flow patterns. He also completed his Master’s degree in Hydraulic Structures at the same university, focusing on optimizing the performance of linear Gaussian quadratic control for reservoir systems, with a case study on Ardak Dam. His Bachelor’s degree in Civil Engineering was also awarded by Ferdowsi University of Mashhad, providing him with a strong foundation in water resources engineering.

Professional Experience 🏢🔍

Dr. Akhtari has over two decades of experience in both academic and professional sectors. As an Associate Professor at Razi University, he has been instrumental in advancing hydraulic engineering research. He has worked as a designer and consultant for numerous hydraulic projects, including 15 dam structures in collaboration with Mashhad Water Engineering Consulting Company. Additionally, he has contributed to the development of 9 small hydroelectric power plants, working alongside the Kermanshah Agricultural Organization. His expertise in numerical modeling and computational simulations has helped optimize hydraulic structures and water management systems.

Research Interests 🌊📊

Dr. Akhtari’s research is centered on hydraulic and structural design for water engineering applications. His key areas of focus include numerical modeling techniques such as Finite Volume, Finite Difference, and Finite Element Methods to enhance the efficiency of hydraulic structures. He specializes in computational fluid dynamics (CFD), particularly in studying flow patterns in sharp bends and transitions between trapezoidal and rectangular open channels. Additionally, he explores the use of precision instruments for dam monitoring, ensuring structural integrity and water flow optimization.

Awards & Recognitions 🏆🔬

Dr. Akhtari has been widely recognized for his pioneering contributions in hydraulic structure design. His work on hydraulic systems for dams and hydroelectric power plants has received acclaim from industry and academic circles. He has been a key consultant for major water infrastructure projects, earning him recognition for his expertise in hydraulic engineering. His mentorship and academic guidance have helped numerous students advance their careers, with many securing faculty positions and research roles in civil engineering.

Publications 📄🔗

Ali Akbar Akhtari, Numerical simulation of free flow patterns in sharp bends, Journal of Hydraulics Engineering, 2023. 🔗 DOI.

Ali Akbar Akhtari, Application of separating walls in dam spillways, Water Resources Research, 2022. 🔗 DOI.

Ali Akbar Akhtari, Computational modeling of turbulence in hydraulic structures, International Journal of Fluid Mechanics, 2021. 🔗 DOI.

Ali Akbar Akhtari, Design and optimization of surface water disposal systems, Environmental Engineering Journal, 2020. 🔗 DOI.

Conclusion

Ali Akbar Akhtari is a highly qualified candidate for the Research for Excellence in Research Award, given his decades of academic service, pioneering research in hydraulic structures, and significant industry applications. Enhancing global research collaborations and funding opportunities will further elevate his research excellence. 🌟

 

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

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)

Adrian Pisla | Engineering | Best Researcher Award

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Adrian Pisla | Engineering | Best Researcher Award

Prof Adrian Pisla, Technical University in Cluj-Napoca, Romania

Prof. Adrian Pisla is a renowned University Professor at the Technical University of Cluj-Napoca, Romania, specializing in engineering and management. He holds extensive academic experience, having served as Assistant Professor, Associate Professor, and University Professor. Additionally, he supervises PhD students and leads the Dynamic Systems Simulation Laboratory. He has received numerous accolades, including the “Traian Vuia” prize and gold medals for his innovations in robotics. His work includes research in parallel robotics, rehabilitation systems, and sustainability. Prof. Pisla has authored impactful publications and contributed to e-learning systems, with expertise in mechanical design and robotics. 🏅🤖🎓

Publication Profile

google scholar

Education

Prof. Adrian Pisla has an extensive background in higher education, training, and product development. His academic achievements include the completion of various courses and training programs across Europe and the USA, such as Einführung in die Hochschuldidaktik at Babeș-Bolyai University and specialized courses in product development using Siemens PLM. Prof. Pisla has participated in international programs on online education, environmental management, and automation systems, with notable roles in Clusters Management Mentoring. His Ph.D. in Computer-Aided Manufacturing, awarded by the Technical University in Cluj-Napoca, focused on thermal spraying technology. He has contributed significantly to interdisciplinary education and technology development. 🎓🌍💻🛠

Experience

Prof. Adrian Pisla’s career began in 1987 as an Engineer in Probation at IMMR Pascani, Romania. He transitioned to Design Engineer at IMMR “16 Februarie” in Cluj-Napoca in 1990, followed by a role as an Analyst-Programmer in the same company. In 1991, he joined the Technical University of Cluj-Napoca as a Teaching Assistant and later advanced to Assistant Professor in 1995. From 1998 to 2002, he served as an Associate Professor, and in 2002, he became a University Professor at the same institution. His academic journey highlights his dedication to education and engineering. 📚💡👨‍🏫

International Recognition

Prof. Pisla’s remarkable accomplishments have earned him international recognition. In 2023, he received the prestigious lifetime achievement award from the Romanian Academy, honoring his outstanding contributions to his field. His innovative work has also been acknowledged through multiple medals at renowned international innovation exhibitions. These accolades highlight his dedication to advancing knowledge and fostering groundbreaking research. With his influential impact on academia and innovation, Prof. Pisla continues to inspire the global scientific community. 🏅🌍🔬🏆🎓

Awards and Distinctions

He has received numerous prestigious accolades, including multiple gold and bronze medals at various international research and innovation events. These awards serve as a testament to the exceptional quality and impact of his work, highlighting his dedication and expertise in his field. His achievements not only reflect his intellectual abilities but also his commitment to advancing knowledge and innovation on a global scale. These recognitions are a clear affirmation of his ability to contribute groundbreaking solutions that make a significant difference. 🥇🏅🌍💡

Research Focus

Prof. Adrian Pisla’s research focuses on the design, development, and application of robotic systems, particularly in the fields of rehabilitation, surgery, and automation. His work spans parallel robotics for lower and upper limb rehabilitation, kinematics, and virtual reality simulators for medical applications. He also explores the risk-based assessment of robotic systems used in post-stroke rehabilitation and minimal invasive surgery. Additionally, he is involved in sustainable automation practices and digital agriculture. Prof. Pisla’s expertise includes engineering, robotics, and life cycle management of robotic technologies, contributing significantly to healthcare robotics and automation advancements. 🤖🦾💡💉🌱

Publication Top Notes

Systematic design of a parallel robotic system for lower limb rehabilitation

Agile, waterfall and iterative approach in information technology projects

Risk-based assessment engineering of a parallel robot used in post-stroke upper limb rehabilitation

Kinematics and design of a 5-DOF parallel robot used in minimally invasive surgery

Development of a virtual reality simulator for an intelligent robotic system used in ankle rehabilitation

Kinematical analysis and design of a new surgical parallel robot

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

Hakim Azizi | Engineering | Best Researcher Award

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Dr.Hakim Azizi | Engineering | Best Researcher Award

Ziane Achour Djelfa university,  Algeria

Azizi Hakim is an experienced academic and researcher currently serving as a Maitre de Conférences Classe A at Ziane Achour University of Djelfa, Algeria. Born on August 8, 1985, in Taher, Algeria, he has devoted his career to teaching and research in the field of electrotechnics. His work primarily focuses on the impact of electromagnetic disturbances on high-power equipment and the development of intelligent diagnostic systems for industrial applications.

Profile

Scopus

Education 🎓

PhD in Electrotechnics from the University of Science and Technology Houari Boumediene, Algiers (2020). His doctoral thesis focused on the influence of external electromagnetic disturbances on high-field equipment. Magister in Electrical Engineering from the Ecole Militaire Polytechnique, Algiers (2011). His thesis explored the design of a measurement cell for evaluating radiated electromagnetic disturbances. Engineering Degree in Electrotechnics from Jijel University (2009), where he specialized in electrical networks and graduated with honors.

Experience 💼

Teaching practical and theoretical courses in electrotechnics, electromagnetic wave propagation, and algorithmic systems at institutions such as the Military Polytechnic School of Algiers and the University of Médéa. He has held academic positions at Ziane Achour University since 2013 and has conducted scientific research stays at the prestigious Ecole Centrale de Lyon in France (2016-2017, 2018-2019).

Research Interests 🔍

Electromagnetic systems, with a particular focus on how disturbances affect industrial equipment. Electrical power networks and the design of diagnostic tools for fault detection in high-power installations. Machine learning applied to industrial diagnostic systems, with a strong focus on intelligent monitoring and control systems.

Awards 🏆

A highly honorable mention for his doctoral thesis on electromagnetic disturbances. Acknowledgments for his contributions to the advancement of electrotechnic diagnostics and innovative approaches to electrical systems engineering.

Publications Top Notes📚

  1. Arc plasma energy evolvement in 60 kV network circuit breakers | Ocena energii łuku plazmowego w wyłącznikach sieciowych 60 kV
    • Authors: Belkhir, S., Ziani, A., Azizi, H., Moulai, H.
    • Year: 2022

 

  1. Sequential adaptive sampling based on cubic spline interpolation to accelerate the near field scanning
    • Authors: Kihal, M.C., Moulai, H., Azizi, H., Smartt, C., Thomas, D.W.P.
    • Year: 2022

 

  1. Analytical and numerical models compared with measurements for analysis of electromagnetic radiation through apertures of a metallic enclosure
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. A model assisted probability of detection approach for ECNDT of hidden defect in aircraft structures
    • Authors: Chebout, M., Azizi, H., Mekideche, M.R.
    • Year: 2020

 

  1. Electromagnetic shielding performance of a metallic enclosure with apertures
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. Electromagnetic interference from shielding effectiveness of a rectangular enclosure with apertures – Circuital approach, FDTD and FIT modelling
    • Authors: Azizi, H., Tahar Belkacem, F., Moussaoui, D., Bendaoud, A., Bensetti, M.
    • Year: 2014

 

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