Pedro Pitrez | Engineering | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Pedro Pitrez | Engineering | Best Researcher Award

Assist. Prof. Dr. Pedro Pitrez  at Assistente Convidado – FEUP , Portugal

Pedro Pitrez is a Mechanical Engineer specializing in thermal energy and internal combustion engine systems. He holds a Master’s degree and is currently completing his Ph.D. at FEUP, focusing on energy systems and mechanical engineering. Pitrez has extensive experience in both academia and industry, with a passion for research, development, and teaching. He has worked as a lecturer at UTAD and FEUP, teaching subjects such as Applied Thermodynamics and Mechanics. His professional journey includes working at INEGI, where he developed a machine for cork painting, and at EDP Geração, managing operations for hydroelectric power plants. Known for his technical expertise, Pitrez combines his engineering knowledge with a drive for innovation, contributing to various research projects, academic articles, and conferences.

Publication Profile

Scopus

🎓 Education

Pedro Pitrez’s educational background includes a Bachelor’s degree in Mechanical Engineering from UTAD, followed by a Master’s degree in Mechanical Engineering from FEUP. His Ph.D. work at FEUP focuses on the areas of energy systems and combustion. Pitrez has excelled in his academic career, achieving strong results with a Master’s thesis on preparing a Porsche 911 internal combustion engine for competition. His academic training also includes specialized research in thermal energy, reflected in his current work and studies. Furthermore, he has contributed significantly to educational platforms, having taught courses such as Applied Thermodynamics II and Mechanics III. His current research at FEUP and INEGI is an embodiment of his continuous pursuit of knowledge and advancement in the field of mechanical and energy engineering.

💼 Experience

Pedro Pitrez has an extensive professional background in both academia and industry. From March 2020 to August 2022, he worked as a researcher at INEGI, where he was involved in the development of industrial machines, including a machine for cork painting. He was responsible for designing the machine’s structure and transport systems, as well as creating the control software. Additionally, Pitrez gained valuable experience in teaching at FEUP, offering courses in thermodynamics and mechanics. He has also worked at Amorim Cork Composites, where he provided academic support, including practical classes and student supervision. His professional career also includes working at EDP Geração, where he currently holds a position as an engineer in charge of planning and operations for hydroelectric power plants. Pitrez’s broad experience and academic contributions make him a well-rounded professional in mechanical engineering and energy systems.

🏆 Awards & Honors

Pedro Pitrez has received numerous accolades for his contributions to research and academia. Notably, he won the Best Paper Award at the International Conference on Technologies and Materials for Renewable Energy, Environment, and Sustainability (TMREES23) in 2023. His research work on plasma gasification and energy systems optimization has earned him recognition in both academic and professional circles. Additionally, Pitrez has presented at several high-profile conferences, such as the VII Jornadas de Engenharia Mecânica UTAD and the International Conference on Renewable Energy and Sustainability (TMREES23). His academic journey has been marked by consistent excellence, having also contributed to published articles in reputable journals such as Energy Reports and ENCIT 2020. These awards and honors reflect his impact and dedication to advancing research in mechanical engineering and sustainable energy solutions.

🔍 Research Focus

Pedro Pitrez’s research primarily focuses on energy systems, combustion processes, and sustainable energy technologies. His current work includes investigating plasma gasification for hazardous waste treatment and optimizing energy conversion processes. He has developed expertise in the numerical analysis of energy systems and the efficient production of syngas. His research is highly interdisciplinary, bridging mechanical engineering with environmental sustainability. Pitrez is particularly focused on applying energy optimization to industrial processes, as evidenced by his work on internal combustion engines and hydroelectric power plants. Additionally, his ongoing Ph.D. research explores the potential of alternative fuels in the transportation and energy sectors. His work contributes to the development of cleaner, more efficient energy systems, with practical applications in industries such as automotive, power generation, and environmental technologies. Pitrez’s dedication to advancing energy solutions aligns with his long-term vision of sustainable and efficient mechanical systems.

Publication Top Notes

  • Energy Recovery from Infectious Hospital Waste and Its Safe Neutralization

    • Authors: P. Pitrez, Pedro; E.L.M. Monteiro, Eliseu L.M.; A.I. Rouboa, Abel Ilah
    • Citations: 0 (as it is a forthcoming publication)
    • Year: 2025
    • Journal: International Journal of Hydrogen Energy

  • Numerical Analysis of Plasma Gasification of Hazardous Waste Using Aspen Plus

    • Authors: Not provided in the reference.
    • Citations: 0
    • Year: 2023
    • Journal: Energy Reports
    • Volume: 9, Pages 418-426

  • Optimization of Plasma Gasification System for Treatment of COVID-19 Hazardous Waste for Valorization of LHV and H2 Composition

    • Authors: Not provided in the reference.
    • Citations: 0
    • Year: In Review (no specific year yet)
    • Journal: Status: In Review

 

Santos Kumar Das | Engineering | Best Researcher Award

Posted on by ScienceFather

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

Posted on by ScienceFather

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

Sakthivel Ramalingam | Engineering | Best Researcher Award

Posted on by ScienceFather

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

Posted on by ScienceFather

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

TABASUM GULEDGUDD | Engineering | Best Researcher Award

Posted on by ScienceFather

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

Linmei Wu | civil engineering | Best Researcher Award

Posted on by ScienceFather

 Prof Dr. Linmei Wu | civil engineering | Women Researcher Award

Prof Dr at University of western australia China

Dr. Linmei Wu is a distinguished civil engineer at The University of Western Australia, recognized for her pioneering work in structural engineering and sustainable construction. With over 30 high-quality publications, Dr. Wu’s research focuses on advancements in civil engineering materials, concrete shrinkage, BIM design, and intelligent construction methods. Her work bridges traditional and modern engineering practices, driving innovation and sustainability in the field. With a citation index of 2189 and a commitment to impactful research, Dr. Wu is a strong candidate for the Research for Community Impact Award, reflecting her dedication to advancing both academic and practical aspects of civil engineering.

Profile

Scholar

Strengths for the Research for Community Impact Award 🌟

Innovative Research: Linmei Wu has made significant advancements in civil engineering materials and intelligent construction methods, addressing key challenges in the field.. High Citation Index: Her high citation index of 2189 reflects the impact and relevance of her research within the academic community. Commitment to Sustainability: Her focus on sustainable and innovative solutions aligns with the goals of the Research for Community Impact Award.

Areas for Improvement 🛠️

Expand Industry Collaborations: Enhancing collaborations with industry partners could amplify the practical applications and community impact of her research. Increase Public Outreach: Greater engagement in public outreach and communication of her research findings could further extend the societal benefits of her work.

Academic and Professional Background 🎓

I am an accomplished civil engineer specializing in structural engineering. With a robust foundation in civil and environmental engineering, I have published over 30 high-quality academic papers. My focus on innovative and sustainable solutions in structural engineering has led to significant advancements in the field. My commitment to research and development has driven me to the forefront of civil and structural engineering, where I continually strive to improve practices and technologies.

Contributions 🏆

Linmei Wu’s contributions to civil engineering are distinguished by her groundbreaking work in concrete shrinkage, BIM design, and intelligent construction methods. Her innovative approaches bridge traditional engineering with modern techniques, leading to sustainable and impactful advancements. Her extensive publication record and high citation index underscore her significant influence in the field. Linmei’s dedication to advancing civil and structural engineering practices demonstrates her commitment to enhancing the industry’s impact on both the environment and society.

Research and Innovations 🔬

I have achieved breakthrough advancements in civil engineering materials, particularly regarding concrete shrinkage, Building Information Modeling (BIM) design, and intelligent construction methods. My expertise integrates traditional civil engineering with modern design approaches, resulting in innovative and sustainable solutions.

 

Publication:📝
  1. High Stretchable and Self-Adhesive Multifunctional Hydrogel for Wearable and Flexible Sensors
    • Year: 2024
    • Authors: H Zhong, W Shan, L Liang, X Jiang, L Wu
    • Journal: Heliyon
    • Citations: 0

 

  1. Realistic Aggregate Based on Rough Textures with Deep Learning
    • Year: 2024
    • Authors: L Wu, P Liu
    • Journal: Applied Soft Computing
    • Article: 111938
    • Citations: 0

 

  1. Cover Image, Volume 141, Issue 26
    • Year: 2024
    • Authors: W Shan, L Liang, L Wu
    • Journal: Journal of Applied Polymer Science
    • Volume: 141
    • Issue: 26
    • Article: e54165
    • Citations: 0

 

  1. 4D Printing of Dual-Responsive High-Performance Shape Memory Polymer Inspired by Sunflowers
    • Year: 2024
    • Authors: W Shan, L Liang, L Wu
    • Journal: Journal of Applied Polymer Science
    • Volume: 141
    • Issue: 26
    • Article: e55557
    • Citations: 0

 

  1. Multi-Material and Parameter-Controllable Stereolithography 3D Printing of Graded Permittivity Composites for High Voltage Insulators
    • Year: 2023
    • Authors: L Zhong, J Du, Y Xi, F Wang, L Wu, J Li, M Tu, X Li, G Fei
    • Journal: Virtual and Physical Prototyping
    • Volume: 18
    • Issue: 1
    • Article: e2271447
    • Citations: 1

 

  1. 3D Printing of Photochromic and Thermochromic Shape Memory Polymers for Multi-Functional Applications
    • Year: 2023
    • Authors: N Ge, W Shan, L Liang, Y Deng, L Wu
    • Journal: Materials Research Express
    • Volume: 10
    • Issue: 9
    • Article: 095701
    • Citations: 1

 

  1. Shear Lag Effect Study of a Composite Girder Cable-Stayed Bridge During Construction
    • Year: 2022
    • Authors: QC She, CS Chen, DH Yan, LM Wu, G Huang
    • Journal: International Journal of Simulation Modelling (IJSIMM)
    • Volume: 21
    • Issue: 4
    • Citations: 3

 

  1. Behaviour of Steel-Reinforced Concrete Columns Under Combined Torsion Based on ABAQUS FEA
    • Year: 2020
    • Authors: X Cao, L Wu, Z Li
    • Journal: Engineering Structures
    • Volume: 209
    • Article: 109980
    • Citations: 52

 

  1. Study on Dimensional Stability of Ultra-High Performance Concrete (UHPC)
    • Year: 2020
    • Author: L Wu
    • University: University of Southern Queensland
    • Citations: 0

 

  1. Synthesis of Zeolite P1 from Fly Ash Under Solvent-Free Conditions for Ammonium Removal from Water
    • Year: 2018
    • Authors: Y Liu, C Yan, J Zhao, Z Zhang, H Wang, S Zhou, L Wu
    • Journal: Journal of Cleaner Production
    • Volume: 202
    • Pages: 11-22
    • Citations: 152

 

  1. 钢纤维对超高性能混凝土干燥收缩的影响 (Effect of Steel Fiber on the Drying Shrinkage of Ultra-High Performance Concrete)
    • Year: 2018
    • Authors: 吴林妹 (Wu Linmei), 史才军 (Shi Caijun), 张祖华 (Zhang Zuhua), 王浩 (Wang Hao)
    • Journal: 材料导报 (Materials Review)
    • Volume: 31
    • Issue: 23
    • Pages: 58-65
    • Citations: 6

Conclusion 🏆

Linmei Wu is a highly qualified candidate for the Research for Community Impact Award. Her extensive research contributions, innovative approaches, and significant citation index highlight her impactful work in civil engineering. With a strong commitment to sustainable solutions, she is well-positioned to advance the field and make meaningful contributions to both the industry and society.

 

 

Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Posted on by ScienceFather

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