Suraj Kumar Rajbhar, Engineering, Best Researcher Award

Doctorate Suraj Kumar Rajbhar: Ph.D Research scholar at Indian Institute of Technology (Indian School of Mines) Dhanbad, India

Suraj Kumar Rajbhar is a motivated Ph.D. Research Scholar at the Indian Institute of Technology (Indian School of Mines) specializing in Electrical Engineering with a focus on Power Systems. He holds a Master of Technology degree in Power Systems from the National Institute of Technology Silchar, Assam. With a strong foundation in power system operation and control, Suraj combines academic rigor with three years of hands-on experience in terminal automation systems, driving innovations in power system optimization and reactive power management. His research contributions aim to improve the efficiency, reliability, and sustainability of modern electrical grids.

Online Profiles

Scopus Profile

Suraj actively engages with the global academic and engineering community through his LinkedIn profile, where he shares insights on power system optimization and connects with peers and industry experts. His profile includes detailed descriptions of his research projects, publications, and conference presentations.

Suraj Kumar Rajbhar is affiliated with the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He is indexed in Scopus with the author ID 58982723300. Currently, Suraj has 3 documents listed under his profile, with citations yet to be accrued, reflecting the emerging nature of his research career. His scholarly contributions are poised to impact the field of power system optimization and control as he continues to publish and present in high-quality international venues.

Education

Suraj earned his Master of Technology degree in Power Systems from the prestigious National Institute of Technology Silchar, graduating in November 2022 with distinction. His M.Tech thesis focused on power system optimization techniques. He is currently pursuing a Ph.D. at the Indian Institute of Technology (Indian School of Mines), where he continues to deepen his expertise in power system operation, control strategies, and reactive power planning, aiming to contribute original research that addresses current challenges in electrical power engineering.

Research Focus

Suraj’s research is centered on enhancing the operation and control of power systems, with a particular focus on optimizing power flow and managing reactive power for improved system stability and efficiency. He specializes in developing metaheuristic algorithms and advanced optimization techniques, such as the Crow Search Algorithm and Rao Algorithm, to address complex power dispatch challenges involving multi-type Flexible AC Transmission Systems (FACTS) devices. His work seeks to provide practical solutions that ensure grid reliability and support sustainable energy integration.

Experience

With over three years of experience in terminal automation systems, Suraj brings practical engineering insights to his academic research. During his M.Tech program, he served as a research scholar at NIT Silchar, working on projects related to power system optimization from 2020 to 2022. Currently, as a Senior Research Fellow (SRF) at IIT (ISM), he leads research initiatives that integrate algorithmic development and system analysis to tackle emerging issues in power system management and operation.

Research Timeline

Suraj’s research journey began during his M.Tech studies at NIT Silchar (2020–2022), where he developed foundational expertise in power system optimization. His transition to a Ph.D. program at IIT (ISM) in late 2022 marked a shift toward more complex and applied research problems, including the optimization of reactive power dispatch using metaheuristic methods and FACTS device integration. Throughout this period, he has actively published in reputed journals and presented at international IEEE conferences, showcasing the evolution and impact of his work.

Awards & Honors

Suraj’s scholarly contributions have been recognized through multiple presentations at international conferences, including IEEE forums, where his innovative approaches to reactive power management and load scheduling have garnered positive peer reviews. While formal awards are forthcoming, his growing publication record and conference participation highlight his standing as an emerging expert in power system optimization and control.

Top-Noted Publication

Among Suraj’s publications, the paper titled “Metaheuristic techniques and optimal VAr support to the vulnerable buses for improved reactive power planning,” published in 2025 in the International Journal of System Assurance Engineering and Management, stands out. This work introduces novel metaheuristic optimization methods to enhance reactive power support in power systems, demonstrating significant improvements in system stability and efficiency. The paper has been well-received by the academic community and cited as a valuable contribution to the field of power engineering.

Suraj Kumar Rajbhar’s notable publication titled “Metaheuristic techniques and optimal VAr support to the vulnerable buses for improved reactive power planning” appeared in the International Journal of System Assurance Engineering and Management in 2025. This research addresses the challenge of enhancing reactive power support in power systems using advanced metaheuristic optimization methods. Although currently under limited access and yet to receive citations, this article highlights Suraj’s innovative contributions to power system stability and control.

Rajeev Chauhan, Engineering, Innovative Researcher Award

Doctorate Rajeev Chauhan: Professor & Head at Gyan Ganga Institute of Technology and Sciences, Jabalpur, India

Dr. Rajeev Kumar Chauhan is a highly experienced Professor and Head of the Department of Electrical Engineering at Gyan Ganga Institute of Technology & Sciences, Jabalpur, India. With over 20 years of expertise in academia and industry, he has made significant contributions to power system planning, smart grid technologies, renewable energy integration, and demand response management. His leadership in both teaching and research has fostered innovation and collaboration within the electrical engineering community.

Online Profiles

ORCID Profile

Dr. Chauhan maintains active professional affiliations as a member of IEEE and DHV Internationals, The Netherlands. He is recognized internationally for his scholarly contributions, serving as a reviewer for prestigious journals such as Electrical Engineering (Springer Nature), IET Smart Grid, and the Journal of The Institution of Engineers (India). Additionally, he contributes as an editorial board member to Energy Science and the American Journal of Electrical Power and Energy Systems, furthering the advancement of electrical power research.

Education

Dr. Chauhan earned his Ph.D. in Electrical Engineering with a specialization in Power Systems from GLA University, Mathura, in 2022. Prior to that, he completed his M.Tech. in Microwave Engineering at U.P. Technical University, Lucknow, with research conducted at IIT BHU, a premier institution in India, in 2011. His foundational education was completed with a Bachelor of Engineering in Electrical Engineering from SRMSCET, Bareilly, affiliated to M.J.P. Rohilkhand University, in 2000.

Research Focus

His research interests encompass power system planning, smart grid development, renewable energy integration, and demand-side management. Dr. Chauhan’s work emphasizes automated demand response, distribution system reliability evaluation, and innovative strategies for energy conservation. His interdisciplinary approach bridges theoretical modeling with practical applications in modern electrical grids.

Experience

Dr. Chauhan started his career as a Consultant Engineer specializing in quality control for power transformer testing and power distribution system planning. He transitioned to academia, taking on roles as Senior Lecturer and Assistant Professor before advancing to leadership positions such as Professor and Head of Department. At GGITS, he leads research projects funded by major agencies like AICTE and TEQIP, focusing on modernizing electrical engineering labs and developing hybrid renewable energy systems.

Research Timeline

Between 2000 and 2003, Dr. Chauhan worked extensively on quality control and electrification projects in the National Capital Region. From 2003 to 2010, he expanded his research scope into microwave engineering and antenna design at IIT BHU. Since 2010, his primary focus has been on power system planning, smart grids, and demand response. His continued involvement in funded projects and numerous publications highlights his sustained contribution to advancing electrical power systems.

Awards & Honors

Dr. Chauhan is recognized for his expertise and contributions through his memberships in IEEE and DHV Internationals. He has been entrusted with peer review responsibilities for leading journals and holds editorial positions, underscoring his reputation in the field. While specific awards are not listed, his role in high-profile research projects and international conferences reflects a distinguished academic standing.

Top-Noted Publication

A standout publication in Dr. Chauhan’s portfolio is “Optimal Planning of Transmission Network for Evacuation of Power from High-Capacity Generators in Thermal Power Stations Replacing Lower Capacity Units,” published in 2024 in the Journal of The Institution of Engineers (India): Series B, Springer Nature. This work addresses critical challenges in power transmission planning, offering innovative solutions that improve efficiency and reliability in thermal power generation systems.

  • Direct Load Control Scheme for Flexible Loads under Automated Demand Response Program for Peak Demand Management, Loss Minimization, Asset Management, and Sustainable Development
    Recent Advances in Electrical & Electronic Engineering, 2024
    DOI: 10.2174/2352096516666221227150735
    Contributors: Rajeev Kumar Chauhan, Sanjay Kumar Maurya, Durg Singh Chauhan
    This paper presents a load control scheme designed to optimize peak demand management and minimize losses while supporting sustainable energy goals.

  • Replacement of LVDS to HVDS for Reduction in Distribution Losses, Improvement in Voltage Profiles and Economic Analysis for National Saving
    Recent Advances in Electrical & Electronic Engineering, 2023
    DOI: 10.2174/2352096515666220902141918
    Contributors: Rajeev Kumar Chauhan, Sanjay Kumar Maurya, Durg Singh Chauhan
    This study focuses on the technical and economic benefits of upgrading distribution systems from Low Voltage Distribution System (LVDS) to High Voltage Distribution System (HVDS).

  • Fuel-Efficiency Improvement by Component-Size Optimization in Hybrid Electric Vehicles
    World Electric Vehicle Journal, 2023
    DOI: 10.3390/wevj14010024
    Contributors: Swapnil Srivastava, Sanjay Kumar Maurya, Rajeev Kumar Chauhan
    Explores component-level optimization to enhance fuel efficiency in hybrid electric vehicles, contributing to sustainable transportation technologies.

  • Multistage Expansion Planning of Active Distribution System Network
    Recent Advances in Electrical & Electronic Engineering, 2022
    DOI: 10.2174/2352096515666220506183107
    Contributors: Rajeev Kumar Chauhan, Sanjay Kumar Maurya, Durg Singh Chauhan
    Presents a comprehensive approach for the expansion planning of distribution networks, balancing cost, reliability, and operational efficiency.

  • An Approach of Multistage Distribution System Network Expansion Planning Considering Investment, Operational Cost and Reliability of System
    Indian Journal of Science and Technology, 2020
    DOI: 10.17485/IJST/V13I30.678
    Contributor: Rajeev Kumar Chauhan
    Addresses planning strategies that integrate investment, operational costs, and system reliability for distribution network expansion.

Strength of the Innovative Researcher Award

  1. Pioneering Contributions to Power System Innovations
    The award honors Dr. Chauhan’s groundbreaking work in power system planning and smart grid technologies, recognizing his ability to develop novel methods for demand response management and renewable energy integration that address contemporary energy challenges.

  2. Bridging Theory with Practical Applications
    Dr. Chauhan’s research demonstrates a unique strength in translating complex theoretical models into practical, scalable solutions—such as automated demand response schemes and distribution system expansions—that improve grid reliability and efficiency.

  3. Interdisciplinary and Collaborative Research Approach
    The award highlights his success in integrating diverse fields like microwave engineering, electrical distribution, and hybrid vehicle technology, showcasing his innovative mindset and collaborative spirit that foster multi-disciplinary breakthroughs.

  4. Leadership in Academic and Industry Research Projects
    This recognition reflects Dr. Chauhan’s leadership in managing and executing cutting-edge research funded by national agencies, where his innovative strategies have modernized lab facilities and advanced hybrid renewable systems, contributing to sustainable development.

  5. Consistent Scholarly Excellence and Knowledge Dissemination
    The award underscores his sustained scholarly impact, demonstrated by high-quality publications in prestigious journals, editorial roles, and peer-review contributions, all of which amplify the reach and influence of his innovative research globally.

Kawther Al-Soudany, Engineering, Female Researcher Award

Prof. Dr Kawther Al-Soudany: professor at University of Technology, Baghdad, Iraq.

Prof. Kawther Yaly Hussain Al-Soudany is a distinguished geotechnical engineer and professor at the University of Technology in Baghdad, Iraq. With over 20 years of academic, research, and practical experience, she has made significant contributions to soil mechanics, ground improvement, and environmental geotechnics. Her work focuses on developing sustainable and innovative engineering solutions tailored to the complex geotechnical challenges of soft and contaminated soils in Iraq and the broader Middle East region. Prof. Al-Soudany is widely recognized for her dedication to advancing knowledge and mentoring the next generation of engineers.

Online Profiles

Scopus Profile

Documents Indexed in Scopus: 25
Total Citations: 107
Cited By: 89 documents
h-index: 7

Prof. Al-Soudany’s research portfolio indexed in Scopus reflects a solid academic footprint in the field of geotechnical and environmental engineering. Her publications focus on soil stabilization, landfill liner performance, and the geotechnical behavior of contaminated and treated soils. With an h-index of 7, her work demonstrates consistent academic influence and relevance within the geotechnical engineering research community.

Education

Prof. Al-Soudany earned her Ph.D. in Geotechnical Engineering from the University of Technology, Baghdad, in 2025, marking the culmination of years of focused research into soil stabilization and landfill liner systems. Prior to that, she completed an M.Sc. in Geotechnical Engineering in 2006, during which she investigated innovative ground improvement methods such as enlarged base stone columns. Her academic foundation was laid with a B.Sc. in Building & Construction Engineering in 2002 from the same institution, providing a comprehensive understanding of civil engineering principles and their practical applications.

Research Focus

Her research spans several critical areas of geotechnical engineering, including soil stabilization using waste materials like rice husk ash, silica fume, and polymer additives; ground improvement techniques such as stone columns and nanomaterials; and environmental geotechnics focusing on landfill liner performance and soil contamination by hydrocarbons. She is particularly interested in the sustainable reuse of industrial and agricultural by-products to enhance soil properties, reduce environmental impact, and improve infrastructure durability in regions with problematic soil conditions.

Experience

Over her two-decade career, Prof. Al-Soudany has progressed from demonstrator to full professor at the University of Technology, where she has taught and supervised courses in soil mechanics, foundation engineering, and advanced soil laboratory techniques. Her academic roles are complemented by extensive hands-on experience conducting laboratory and field soil tests, ensuring that her teaching and research are grounded in practical applications. She has also actively contributed to curriculum development and mentoring students and junior researchers.

Research Timeline

Starting with her M.Sc. thesis on enlarged base stone columns in 2006, Prof. Al-Soudany’s research portfolio has steadily expanded to include soil improvement using various waste materials, assessment of soil contamination effects, and innovative stabilization methods involving nanotechnology. Her recent work focuses on landfill liner systems, exploring the use of magnesium oxide and water treatment sludge ash to improve clay liner performance, reflecting her commitment to addressing pressing environmental challenges through engineering.

Awards & Honors

Prof. Al-Soudany’s academic excellence is demonstrated through her extensive publication record in prestigious international journals and her presentations at key conferences worldwide. While specific awards are not listed, her election to professional societies and her leadership roles in geotechnical research projects highlight the high regard in which she is held by peers. Her ongoing contributions have positioned her as a leading expert in geotechnical engineering and environmental soil science in Iraq and beyond.

Top-Noted Publication

A landmark publication, “Model Tests of Enlarged Base Stone Columns,” presented at the 13th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (2007), showcases Prof. Al-Soudany’s innovative approach to ground improvement. This work has been influential in advancing practical solutions for enhancing soil bearing capacity and reducing settlement, widely cited by researchers and practitioners engaged in soil stabilization and foundation engineering projects across Asia and the Middle East.

1. Desiccation Crack and Volumetric Shrinkage of Magnesium Oxide-Treated Compacted Soil Liner in Landfill

Authors: Al-Soudany, K.Y.H., et al.
Journal: Environmental Earth Sciences, 2025
Summary: This study investigates how magnesium oxide additives affect desiccation cracking and shrinkage behavior in compacted clay liners used in landfill applications. The results highlight improved volumetric stability and crack resistance, suggesting magnesium oxide as a viable treatment method for enhancing liner durability in arid environments.

2. Evaluating the Environmental Impact of Stone Columns on Clay Barrier Liners in Landfills

Authors: Al-Soudany, K.Y.H., et al.
Journal: Environmental Monitoring and Assessment, 2025
Summary: This paper assesses the potential environmental implications of installing stone columns in soft landfill liners, focusing on hydraulic conductivity changes and structural interaction. The findings underscore the importance of evaluating soil-column compatibility in landfill containment design.
Citations: 1

Nagaraj C, Engineering, Best Researcher Award

Doctorate Nagaraj C: Assistant Professor at M S Ramaiah Institute of Technology, India

Dr. Nagaraj C is an accomplished academician and researcher in the field of Electrical and Electronics Engineering, with a specialization in smart grid systems, hybrid micro-grids, and renewable energy technologies. He holds over 13 years of rich experience in teaching, academic mentoring, and applied research. Known for his commitment to innovation and power system optimization, he has contributed through high-impact journal publications, conference presentations, patents, and funded projects. His work is deeply rooted in both theoretical modeling and practical applications, making him a dynamic contributor to engineering education and energy systems research.

Online Profiles

Scopus Profile

Dr. Nagaraj C is listed on Scopus with an author ID 57191851593, reflecting his active contribution to peer-reviewed research. As of now, his publications have garnered 46 citations across 12 indexed documents, with an h-index of 5, indicating consistent scholarly impact in his research area. His research outputs span topics in smart grid systems, renewable energy integration, and power electronics.

Education

Dr. Nagaraj completed his Ph.D. in Electrical Engineering from the prestigious National Institute of Technology Karnataka (NITK), Surathkal, under the Ministry of Human Resource Development (MHRD), Government of India in 2020, with a coursework CGPA of 7.42/10. Prior to his doctoral studies, he obtained his M.Tech in Power Systems from NIE, Mysuru (VTU, Belagavi) in 2010 with a CGPA of 8.74. He began his engineering education at PES College of Engineering, Mandya (VTU), earning his B.E. in Electrical and Electronics Engineering in 2008 with 63.19%. His academic journey reflects a continuous and deepening focus on power systems and grid technologies.

Research Focus

His research is centered on intelligent control mechanisms for hybrid AC-DC micro-grid systems with an emphasis on power flow control, energy efficiency, and power quality improvement. Dr. Nagaraj has developed advanced converter topologies and control algorithms using fuzzy logic, PI controllers, and hysteresis techniques to address harmonic distortion and voltage instability. He has a strong interest in renewable energy integration, especially solar and wind systems, electric vehicle infrastructure, and next-generation energy conversion systems. His simulations and validations using MATLAB/Simulink contribute to IEEE 519-compliant grid performance.

Experience

Dr. Nagaraj’s academic career spans multiple institutions, starting as an Assistant Professor at MIT Kundapura, followed by key roles as Ad-hoc Faculty and Research Scholar at NITK Surathkal, where he spent over 7 years. He later served as Associate Professor at Reva University before joining M S Ramaiah Institute of Technology, Bengaluru, in December 2020. He has handled a wide range of subjects including Basic Electrical Engineering, Power Systems, Transformers & Induction Machines, and Electric Vehicle Technology. Alongside teaching, he has guided students in lab experiments, supervised projects, coordinated workshops, and contributed significantly to academic governance.

Research Timeline

Beginning his formal research journey in 2012 as an ad-hoc faculty member at NITK Surathkal, Dr. Nagaraj transitioned into a full-time research scholar in 2013. During his Ph.D. (2013–2019), he investigated smart micro-grid topologies and intelligent power control strategies. Post-doctoral work involved academic teaching and research dissemination through journal publications and conferences. From 2020 onwards, he continued active research while serving as Assistant Professor at MSRIT, where he also initiated funded research proposals, filed patents, and guided student research aligned with emerging technologies like EV systems and hybrid inverters.

Awards & Honors

Dr. Nagaraj has been the recipient of several honors throughout his academic and professional career. He was awarded a prestigious MHRD Fellowship for his Ph.D. at NITK Surathkal, recognizing his academic merit and research potential. In 2021, he received an official appreciation for delivering a webinar on emerging trends in Power Systems under the TEQIP-III FDP program. Earlier, he secured second prize in Shuttle Badminton competitions and ranked in a State-Level Science Talent Examination. He has also participated in state-level marathon events, showcasing his all-rounded personality and commitment to excellence beyond academics.

Top-Noted Publication

Among his notable publications, the research article titled “Reduction of power conversion losses in AC-DC Coupled Hybrid Micro-grid under Grid Distorted Voltage Scenario” stands out. Published in Electric Power System Research (Elsevier, Q1 SCIE/Scopus Indexed) in October 2022, this work introduces a novel hybrid micro-grid configuration with an efficient bi-directional intermediate converter using fuzzy logic-based d-q load current control. It addresses power quality issues in distorted voltage conditions and offers significant improvements in conversion efficiency. The paper is recognized for its high relevance in modern power system research and its potential real-world applications.

Recent Scopus-Indexed Publication

Title: Generic Converter Loss Estimation Approach for AC and DC Coupling Distributed Energy Sources
Authors: Nagaraj C., Kumara K., Mohan N.
Journal: Energy Systems (Springer) – Scopus Indexed (Q2), 2025
Summary:
This paper presents a generic loss estimation method for power converters used in both AC and DC coupling of distributed energy sources. The study emphasizes minimizing energy losses during conversion stages and improving the overall efficiency of integrated renewable systems. It introduces a comparative analysis of various converter topologies under different load and source conditions, providing valuable insights into design optimization for smart grid applications.

Miteshbhai Solanki, Engineering, Innovative Researcher Award

Doctorate Miteshbhai Solanki: Assistant Professor at Marwadi University, Rajkot India

Dr. Mitesh S. Solanki is an Assistant Professor in the Department of Information and Communication Technology at Marwadi University, Rajkot, Gujarat. He holds a Ph.D. in Electronics and Communication Engineering from Sardar Vallabhbhai National Institute of Technology, Surat, with a specialized focus on Signal Processing and Massive MIMO Detection for next-generation wireless communication systems. His primary research interests include Signal Detection and Estimation Techniques, User-Centric Architectures, and 5G/6G Communication Systems, with a strong emphasis on low-complexity algorithms and energy-efficient solutions. With a rich academic background and over a decade of teaching experience, Dr. Solanki has actively contributed to research projects, including innovations in smart IoT devices, wireless communications, and healthcare technology. He has also authored several high-impact publications and holds multiple patents. His ongoing work is supported by national funding agencies, such as the University SEED Grant, and spans both theoretical and applied aspects of electromagnetic theory and signal processing.

Online Profiles

ORCID Profile

Dr. Solanki maintains a strong presence on various academic and professional platforms, where he shares his research findings, teaching activities, and collaborations.

  • LinkedIn: Mitesh Solanki – Connect with Dr. Solanki for insights on 5G/6G technologies, Signal Processing, and IoT innovations.

  • ResearchGate: Mitesh Solanki – Explore his publications and collaborative research in the field of Wireless Communication and Electronics Engineering.

  • Google Scholar: Mitesh Solanki – Access Dr. Solanki’s most-cited papers, including his work on Massive MIMO detection and low-complexity algorithms.

Education

Dr. Solanki’s academic journey spans both undergraduate and postgraduate levels, culminating in a Doctor of Philosophy (Ph.D.) from Sardar Vallabhbhai National Institute of Technology, Surat, in 2023, where he focused on Signal Detection Schemes for Massive MIMO Systems. His doctoral research introduced Conjugate Gradient-based Detection algorithms designed to improve the performance and efficiency of Massive MIMO systems, a crucial technology for 5G and beyond communications. He completed his Master of Engineering in Electronics and Communication Engineering from Marwadi Education Foundation’s Group of Institutions, affiliated with Gujarat Technological University, in 2013. During his undergraduate studies at Government Engineering College, Rajkot, he earned a Bachelor of Engineering degree in Electronics and Communication Engineering in 2011, where his foundation in signal processing and communication systems was solidified. This educational background has provided Dr. Solanki with the knowledge and skills to engage in cutting-edge research and contribute to both academic and applied technological advancements.

Research Focus

Dr. Solanki’s primary research revolves around Signal Processing for Massive MIMO Systems and the development of low-complexity detection algorithms tailored for emerging wireless communication technologies. His research has significant implications for 5G/6G network architecture, particularly in Massive MIMO detection and channel estimation, aiming to enhance spectral efficiency and energy efficiency. He has contributed to the design and optimization of algorithms that reduce computational complexity while maintaining robustness in signal detection across a wide range of wireless communication environments. Beyond Massive MIMO, Dr. Solanki is also exploring user-centric architectures and innovative solutions for next-generation communication networks such as IoT and smart cities. His work also extends to healthcare technologies, where he is involved in projects related to non-invasive cancer detection and the design of intelligent systems for health monitoring. This multidisciplinary approach has led to numerous patents and research papers that advance both theoretical knowledge and practical applications.

Experience

Dr. Solanki’s academic career spans more than a decade, with roles at both Marwadi University and other institutions. Since April 2022, he has been serving as an Assistant Professor at Marwadi University, Rajkot, where he actively engages in teaching, research, and curriculum development in the Information and Communication Technology department. His teaching interests include Signal Processing, Wireless Communication, 5G/6G Networks, and Embedded Systems. From October 2021 to March 2022, Dr. Solanki worked as a Program Associate at Gujarat Student Startup and Innovation Hub (i-Hub), where he contributed to the management of innovation programs, offering support and guidance to emerging startups. Earlier, he worked as an Assistant Professor at Gujarat Technological University (2015–2016) and a Teaching Assistant at Government Engineering College, Rajkot (2013–2014), where he gained valuable experience in student mentoring, lab instruction, and academic research. His professional journey has been marked by a focus on academic development and innovation, both in teaching and in research collaboration.

Research Timeline

  • 2024–2025: Currently leading the University SEED Grant project on cost-effective breast cancer detection using Ultra-Wideband Microwave Imaging and a Sub-6 GHz 5G Antenna for non-invasive diagnostics.

  • 2023: Successfully completed the Ph.D. on Conjugate Gradient-based Detection Schemes for Massive MIMO Systems, improving the performance of LTE 5G systems.

  • 2022: Actively engaged in funded projects such as Smart Street Lighting in remote Indian villages and the development of IoT solutions for energy harvesting and smart infrastructure.

  • 2019–2020: Focused on low-complexity MIMO detection for 5G communications, publishing significant work on training-based channel estimation and conjugate gradient detection.

  • 2013–2014: Conducted research in WiMAX MISO Systems, studying adaptive modulation and real-time information transmission, contributing to his Master’s thesis on OFDM PHY Models.

Awards & Honors

Dr. Solanki’s contributions to electronic communication and signal processing have earned him several prestigious accolades. Notably, he holds a patent for a Low-Complexity Detection Scheme in collaboration with Shilpi Gupta (AU2021106228A4), granted by the Australian Government in 2021. His work on Smart Shopping Trolley was recognized with a Design Patent in 2023. Furthermore, he has been awarded the University SEED Grant for his ongoing work on cost-effective breast cancer detection (2024). His innovative projects and research have also resulted in several national project proposals focused on smart cities, IoT applications, and rural infrastructure development, further cementing his reputation as a leader in technology innovation.

Top-Noted Publications

Dr. Solanki has contributed to a range of highly regarded journals and conferences, focusing on Massive MIMO, Signal Processing, and Wireless Communications. Some of his top publications include:

A Novel Intrusion Detection Framework Using Ensemble Learning in MQTT IoT Applications

  • Journal: Annals of Mathematics and Artificial Intelligence

  • Date: July 16, 2025

  • DOI: 10.1007/s10472-025-09993-7

  • Contributors: Mitesh Solanki, Shilpi Gupta

  • Abstract: This paper introduces an innovative intrusion detection system based on ensemble learning techniques tailored for MQTT IoT applications. The proposed framework aims to enhance security and fault tolerance in IoT networks, specifically targeting vulnerabilities in message queue telemetry transport protocols.

A Robust Massive MIMO Detection Based on Conjugate Gradient Approach

  • Book Chapter: Computational Electronics for Wireless Communications

  • Date: 2022

  • DOI: 10.1007/978-981-16-6246-1_49

  • Contributors: Mitesh Solanki, Shilpi Gupta

  • Abstract: This chapter presents a robust approach to Massive MIMO detection using the conjugate gradient method. It discusses the efficiency and reliability of this technique, particularly in 5G and beyond communication systems, offering significant improvements in detection performance compared to traditional methods.

Performance Analysis of LAS Algorithm in Massive MIMO with Imperfect CSI

  • Book Chapter: Computational Electronics for Wireless Communications

  • Date: 2022

  • DOI: 10.1007/978-981-16-6246-1_50

  • Contributors: Mitesh Solanki, Shilpi Gupta

  • Abstract: This chapter investigates the LAS (Least-Angle Shrinkage) algorithm’s performance in Massive MIMO systems under conditions of imperfect channel state information (CSI). The findings highlight the resilience of LAS in handling CSI errors while maintaining high detection accuracy in large-scale MIMO systems.

Training-Based Channel Estimation for Massive MIMO Systems Using LAS Algorithm

  • Journal: International Journal of Ultra Wideband Communications and Systems

  • Date: 2022

  • DOI: 10.1504/IJUWBCS.2022.123423

  • EID: 2-s2.0-85133193079

  • Contributors: Mitesh Solanki, Shilpi Gupta

  • Abstract: This paper presents a training-based method for channel estimation in Massive MIMO systems using the LAS algorithm. It focuses on improving the estimation accuracy by incorporating training sequences that account for both non-linearity and multipath interference in next-generation communication systems.

Robust Conjugate-Gradient Based LAS Detector for Massive MIMO Systems

  • Journal: International Journal of Electronics

  • Date: May 4, 2022

  • DOI: 10.1080/00207217.2021.1941292

  • Contributors: Mitesh Solanki, Shilpi Gupta

  • Abstract: This paper proposes a robust conjugate-gradient based LAS detector for Massive MIMO systems, designed to address high-dimensional signal detection challenges in large antenna arrays. It provides a detailed analysis of the convergence speed, accuracy, and computational efficiency of the proposed detector under various SNR (Signal-to-Noise Ratio) conditions.

Dr. Mitesh S. Solanki seems to be a highly accomplished researcher and academic in the field of wireless communication, signal processing, and electronics engineering. His extensive contributions to the development of low-complexity detection algorithms for Massive MIMO systems, along with his focus on 5G/6G technologies, smart IoT devices, and healthcare innovations, make him a strong candidate for any prestigious recognition, including an Innovative Researcher Award.

Key Strengths for the Innovative Researcher Award:
  1. Groundbreaking Research Contributions:
    Dr. Solanki’s work on Massive MIMO detection, signal processing, and low-complexity detection algorithms is particularly impactful, especially in the context of 5G/6G networks. His Conjugate Gradient-based detection algorithms have notably enhanced the performance of Massive MIMO systems, which are critical for the efficiency and scalability of next-generation wireless communication systems.

  2. Multidisciplinary Innovation:
    His ability to bridge multiple domains—such as wireless communications, healthcare technologies, and IoT innovations—is impressive. For instance, his ongoing research on cost-effective breast cancer detection using Ultra-Wideband Microwave Imaging showcases his commitment to applying advanced signal processing techniques to real-world problems, contributing to healthcare technology advancements.

  3. Patents and Intellectual Property:
    Dr. Solanki holds patents for his Low-Complexity Detection Scheme and the Smart Shopping Trolley, demonstrating his ability to translate academic research into practical, innovative solutions. These patents further reinforce his eligibility for the award.

  4. National and International Recognition:
    His active involvement in funded projects, such as the University SEED Grant for breast cancer detection, as well as his publications in top journals and conferences, demonstrate the broad impact of his work. His contributions to smart city initiatives and IoT-based rural infrastructure highlight his ability to address pressing societal issues.

  5. Teaching and Mentorship:
    With over a decade of teaching experience at prominent institutions like Marwadi University and Gujarat Technological University, Dr. Solanki is also contributing to the next generation of engineers and researchers. His active involvement in curriculum development and research mentorship enhances his standing as an influential figure in academia.

  6. Publications and Collaborations:
    Dr. Solanki’s consistent publication record in respected journals like the Annals of Mathematics and Artificial Intelligence, International Journal of Electronics, and the International Journal of Ultra Wideband Communications speaks volumes about his dedication to advancing the field of electronics and communications. His collaborations with peers, such as Shilpi Gupta, also underline the collaborative and innovative nature of his research.

Soumyajit Das, Engineering, Young Researcher Award

Asst. Prof Soumyajit Das: Assistant Professor at Techno India University, Kolkata, India

Soumyajit Das is a multidisciplinary engineer specializing in Industrial and Mechanical Engineering with a passion for ergonomics, smart manufacturing, and advanced digital technologies like augmented reality and Industry 4.0. He holds a postgraduate degree from Maulana Abul Kalam Azad University of Technology and has combined his academic rigor with hands-on research and teaching experience. Soumyajit’s work bridges human factors engineering and emerging technology to create safer, more efficient, and sustainable industrial solutions.

Online Profiles

Google Scholar Profile

Soumyajit actively maintains professional and academic profiles on platforms such as Google Scholar, ResearchGate, and LinkedIn, where he showcases his published research, patents, and conference presentations. These platforms serve as a hub for collaboration and knowledge dissemination, connecting him with a global community of researchers and industry professionals focused on ergonomics, manufacturing innovations, and digital transformation.

Since 2020, Soumyajit Das has accumulated a total of 72 citations, reflecting the impact and recognition of his research within the academic community. His work has contributed to an h-index of 4, indicating that at least four of his publications have each been cited four or more times. Additionally, he has an i10-index of 1, with at least one publication receiving ten or more citations, highlighting his growing influence in the fields of industrial engineering and applied research.

Education

He completed his Master’s in Industrial Engineering and Management at MAKAUT in 2021 with a distinguished DGPA of 9.71, demonstrating academic excellence in both theoretical and applied domains. His Bachelor of Technology in Mechanical Engineering, also from MAKAUT (formerly WBUT), was completed in 2017 with a DGPA of 7.72. Prior academic achievements include strong performances in Higher Secondary and Secondary examinations from Howrah Zilla School, reflecting a solid foundation in science and mathematics.

Research Focus

Soumyajit’s research primarily focuses on ergonomic assessment and cognitive workload analysis of industrial and transport workers to improve workplace safety and productivity. He applies advanced analytical methods including Fault Tree Analysis, Work Ergonomic Risk Assessment (WERA), and Lean Six Sigma techniques. Additionally, he explores augmented reality applications in marketing and education, and the development of functionally graded materials with an emphasis on thermal and mechanical performance.

Experience

Currently a Junior Research Fellow at NIT Jamshedpur, Soumyajit has contributed significantly to government-sponsored projects involving thermal shock analysis and smart tribal eco-platforms at IIT Kanpur. His previous roles include assistant professorship at Techno India University and lecturer positions, where he taught mechanical engineering fundamentals. His industrial background spans machine operation, maintenance engineering, and hands-on training at Visakhapatnam Steel Plant and the Electric Locomotive Assembly Factory, providing him with practical insights into manufacturing processes.

Research Timeline

Starting with his undergraduate thesis on tool-workpiece interactions during machining operations in 2016-17, Soumyajit has evolved his research portfolio to include comprehensive studies on musculoskeletal disorders among e-rickshaw and bus drivers between 2019 and 2021. From 2021 onwards, he engaged in advanced material analysis and smart eco-platform development through prestigious research fellowships, culminating in multiple publications and patents that reflect his progressive growth as a researcher.

Awards & Honors

Soumyajit has been recognized for his academic and research excellence with awards such as the Best Paper Award at the 2021 International Conference on Industrial Engineering and first place in oral presentations at the 2020 National Science Day organized by MAKAUT. He has also earned accolades in inter-school academic contests and received multiple certifications including Lean Six Sigma Green Belt and Industrial Safety training, underscoring his commitment to professional development.

Top-Noted Publication

His influential 2024 publication, “Recent developments in modeling and analysis of rotating functionally graded panels: A review,” featured in Materials Today: Proceedings, provides a comprehensive overview of advances in functionally graded materials. This work is widely cited for its in-depth analysis of material behavior under thermal and mechanical stress, and its relevance to aerospace and manufacturing industries aiming to enhance component reliability and performance.

  • Narayan, P., & Das, S. (2025). Socio-Cultural Variations in Consumer Preferences on Sexual Wellness Products in Urban and Rural Communities: A Comprehensive Analysis. Danadyaksa: Post Modern Economy Journal, 2(1), 58-77. [Citations: 1]
    An insightful study examining how cultural and social factors influence consumer behavior regarding sexual wellness products across diverse communities.

  • Das, S. (2024). Design for the Body: How Ergonomics Transforms Modern Clothing into Comfortable, Functional, and Stylish Garments. Ergonomics International Journal (EOIJ), 8(4), 1-8. [Citations: 1]
    This publication explores the role of ergonomic principles in revolutionizing modern apparel design to enhance comfort and functionality.

  • Das, S. (2023). An Article on Food Supply Chain: Find Risk of System Disruptions through Blockchain Technology. [Citations: 1]
    A research article investigating the application of blockchain technology to identify and mitigate risks in food supply chains.

  • Das, S. (2023). An Article On: Augmented Reality Contrast to Ergonomic Design. Human-Computer Interaction eJournal, 6(7). [Citations: 1]
    This paper discusses how augmented reality interfaces can be contrasted with traditional ergonomic design methodologies in human-computer interaction.

  • Das, S., Mallick, B., & Danda, S. (2021). Application of the Workplace Ergonomic Risk Assessment (WERA) Methodology on E-rickshaw Drivers. Available at SSRN 3965806. [Citations: 1]
    A significant study applying the WERA methodology to evaluate ergonomic risks faced by e-rickshaw drivers, highlighting implications for occupational health and safety.

Hassana Mahfoud, Engineering, Best Researcher Award

Prof. Dr Hassana Mahfoud: Professor and researcher at ENSAM Moulay Ismail University Meknes Morocco, Morocco

Prof Dr. Hassana Mahfoud is a university lecturer and researcher from Morocco, specializing in industrial engineering, maintenance systems, and quality management. With a diverse background spanning academia, research, and industry, she has developed expertise in smart maintenance, sustainability, and digital transformation. Over the past decade, she has contributed to numerous academic programs across Morocco and supervised a wide range of student projects, from undergraduate to doctoral levels. Her work focuses on improving performance and reliability in both healthcare and industrial sectors through innovative engineering methods and data-driven decision-making.

Online Profiles

Google Scholar Profile

As of 2025, Dr. Hassana Mahfoud’s research has been cited 169 times in total, with 119 citations since 2020. She has an h-index of 5 and an i10-index of 4, reflecting a growing impact in the fields of maintenance engineering, healthcare systems optimization, and industrial sustainability.

Education

Dr. Mahfoud earned her PhD in Industrial Engineering from the Faculty of Science and Technology in Fez in 2017. Her doctoral research focused on maintenance optimization in the healthcare domain, blending reliability modeling and decision analysis. She previously completed her engineering degree from the National School of Applied Sciences, Fez, in 2011, specializing in industrial systems. Her academic journey began with a Baccalaureate in Science Mathematics from Moulay Driss High School in 2006, laying the foundation for her analytical and systems-based thinking.

Research Focus

Her current research lies at the intersection of predictive maintenance, smart technologies, and sustainable engineering practices. She investigates how Industry 4.0 tools—such as AI, IoT, and data analytics—can be applied to improve maintenance strategies, especially in the healthcare and energy sectors. Additionally, she explores the role of education in shaping resilient industrial actors by rethinking curricula, integrating digital tools, and promoting project-based learning approaches. Circular economy concepts and eco-responsible maintenance systems are also key pillars in her work.

Experience

Dr. Mahfoud has over 12 years of academic and industry experience. Since 2022, she has been a full-time lecturer at ENSAM Meknes (Moulay Ismail University), teaching core subjects like Production Systems, Statistical Process Control, and Maintenance Engineering. Before that, she served as an assistant professor at Cadi Ayyad University (2019–2022) and a permanent professor at ESISMP Casablanca (2017–2019). Her early career included R&D roles in biomedical maintenance at FST Fez and industrial leadership at SBS Porcher in Kenitra, where she oversaw technical operations and industrial project management.

Research Timeline

Her early research (2014–2016) focused on reliability models and maintenance strategies for critical healthcare equipment, contributing to the development of delay time models and risk prioritization tools. Between 2016 and 2020, she advanced hybrid decision-making frameworks and explored cost-effective healthcare maintenance models. From 2020 onwards, her focus shifted toward predictive and sustainable maintenance 4.0, with applications in solar energy plants and circular supply chains. More recently, she has been working on smart systems for maintenance, digital prototyping, and AI-driven educational tools.

Awards & Honors

Dr. Mahfoud has been recognized for her academic contributions and peer-review excellence. She received a Certificate of Excellence in Reviewing from the Journal of Advances in Mathematics and Computer Science. She has also served as a scientific committee member for major conferences, including AI2SD, FSDM, and ICSIEM. She completed a certified training program in University Pedagogy at CFCC Marrakech, enhancing her competencies in digital teaching, assessment, and educational innovation. Her work in Fab Lab innovation and 3D printing has been supported by the AUF as part of Morocco’s digital transformation efforts in education.

Top-Noted Publication

One of her most impactful publications is the 2018 article titled “Dependability-based maintenance optimization in healthcare domain”, published in the Journal of Quality in Maintenance Engineering (Emerald Publishing). The paper offers a dependability-driven framework for optimizing maintenance operations in medical settings, integrating reliability modeling and cost analysis. This work has been widely cited and serves as a foundation for subsequent research in evidence-based, smart healthcare maintenance. Other notable publications include contributions to Springer’s Lecture Notes series and IEEE conference proceedings on predictive maintenance and circular healthcare supply chains.

  • Real-Time Predictive Maintenance-Based Process Parameters: Towards an Industrial Sustainability Improvement
    H. Mahfoud, O. Moutaoukil, M. Toum Benchekroun, A. Latif
    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD), 2023 — 4 citations

  • What can we learn about educational project management in times of covid-19?
    H. Mahfoud
    International Journal of Educational Research Review, Vol. 6(2), 2021, pp. 75-81 — 3 citations

  • Etude des stratégies de maintenance biomédicale: Situation actuelle et perspectives
    H. Mahfoud, A. El Barkany, A. El Biyaali
    Xème Conférence Internationale: Conception et Production Intégrées, 2015 — 3 citations

  • Optimisation des stratégies de maintenance d’un système complexe – Analyse bibliographique
    H. Mahfoud
    Congrès International du Génie Industriel et Management des Systèmes (CIGIMS), 2015 — 3 citations

  • A novel conceptual framework for predictive maintenance of medical devices in a circular healthcare supply chain
    O. Moutaoukil, H. Mahfoud, I. Bouhaddou
    International Conference on Control, Automation and Diagnosis (ICCAD), 2024 — 2 citations

Andréa Jorge Silva, Engineering, Best Researcher Award

Doctorate Andréa Jorge Silva: Medical Anesthesiologist and Head of Medical Care Division, Antônio Pedro University Hospital – Federal Fluminense University – Faculty of Medicine, Brazil

Dr. Andréa Jorge Silva is a highly experienced Brazilian anesthesiologist and academic, currently serving as the Head of the Medical Care Division at Antonio Pedro University Hospital, part of the Federal Fluminense University. With over 30 years in clinical practice, she has consistently integrated her medical expertise with research and innovation. Her work focuses on improving patient care, especially in the field of airway management and anesthesia safety. Dr. Silva is known for her ability to lead multidisciplinary teams, translating clinical needs into practical technological solutions. Her recent innovations in 3D-printed medical devices during the COVID-19 pandemic highlight her commitment to accessible healthcare in low- and middle-income settings.

Online Profiles

ORCID Profile

Dr. Silva maintains a professional digital presence primarily through LinkedIn, where she shares updates about her research, medical innovations, conference presentations, and collaborations with interdisciplinary teams. Her profile also highlights her experience in medical education, leadership roles in hospital management, and interest in emerging healthcare technologies. Her LinkedIn profile serves as a platform for networking with peers, students, and international researchers in anesthesiology and surgical sciences. You can connect with her here: linkedin.com/in/andréa-silva-872949247.

Education

Dr. Andréa Jorge Silva graduated with her Doctor of Medicine (MD) degree from the Federal Fluminense University on October 31, 1991. She went on to complete a medical residency in anesthesiology, gaining in-depth training in perioperative care, airway management, and intensive care support. Her formative academic years laid the foundation for her later role as both a clinician and a researcher. Her education at one of Brazil’s top public universities continues to influence her practice and teaching as she now mentors medical students and residents at the same institution.

Research Focus

Dr. Silva’s current research is centered on the development and clinical validation of a low-cost, 3D-printed videolaryngoscope (VLG3DUFF) designed to improve access to safe intubation techniques in settings with limited resources. Her work addresses a critical gap in the availability of high-cost airway management devices in developing countries. By combining medical insight with engineering principles, she aims to create durable, efficient, and accessible alternatives to traditional videolaryngoscopes. This research also includes simulation-based testing and clinical comparisons, highlighting safety, usability, and performance during rapid sequence induction.

Experience

Throughout her career, Dr. Silva has held multiple roles within the medical and academic community, most notably as Head of the Medical Care Division at Antonio Pedro University Hospital. She has extensive experience in anesthesia for complex surgical procedures and has been involved in postgraduate education and research development for many years. Her leadership during the COVID-19 pandemic was marked by innovation, as she initiated technology-driven solutions to improve clinical response. She is also an active participant in academic congresses and has contributed significantly to curriculum development in anesthesiology at the Faculty of Medicine, Federal Fluminense University.

Research Timeline

Dr. Silva began her most notable research work in mid-2020, at the height of the COVID-19 pandemic, when she led a multidisciplinary team to develop a 3D-printed videolaryngoscope in response to the shortage of airway management devices. The project spanned five months (June–November 2020), focusing on design, prototyping, and simulation testing. In 2021, she coordinated a follow-up clinical study from April to November, comparing the VLG3DUFF device to the standard Macintosh blade in actual surgical settings. These two consecutive projects mark a key period in her research career and have resulted in peer-reviewed publications and a pending medical patent.

Awards & Honors

While no specific awards are listed in her record, Dr. Silva’s work has been recognized through national and international conference invitations and publications in high-impact journals. The innovation behind the VLG3DUFF videolaryngoscope was selected for presentation at the Brazilian Congress of Anesthesiology and the Latin American Congress of Anesthesiology in 2023 and 2024, indicating peer recognition of her project’s impact. The pending patent for her device also reflects its value as an original contribution to clinical practice. Her recognition continues to grow through interdisciplinary collaboration and advancements in affordable medical technology.

Top-Noted Publication

Dr. Silva’s most distinguished publication is titled “3D Printing of a Low-Cost Videolaryngoscope for Tracheal Intubation,” published in Scientific Reports in July 2025. This paper outlines the complete process of developing a novel airway management tool using additive manufacturing technology. The research was driven by the urgent need for affordable medical devices during the COVID-19 pandemic and showcases a successful collaboration between medical professionals and engineers. The study has garnered attention for offering a viable solution to a global healthcare challenge and has laid the groundwork for future innovations in low-cost medical equipment for emergency and surgical use.

Ximenes, T. N., Resende, M. A. C., Videira, R. L. R., Silva, A. J., Figueiredo, J. A., Gonçalves, I. T., & Resende, B. C. (2025). Alternative method for airway approach in anesthesia of a newborn with occipital encephalocele. Brazilian Journal of Case Reports, 5(1). https://doi.org/10.52600/2763-583X.bjcr.2025.5.1.bjcr22

Arulpandian P, Engineering, Best Researcher Award

Dr. Arulpandian P: Assistant Professor at Sri Shakthi Institute of Engineering and Technology, India

Dr. P. Arul Pandian is an accomplished academic researcher and mechanical engineer with a Ph.D. in Mechanical Engineering, specializing in metallurgy, composite materials, and product design development. He brings extensive experience in material innovation, rapid prototyping, reverse engineering, and mechanical testing. His expertise spans aluminum metal matrix composites, polymer-derived ceramics, and sustainable energy harvesting technologies. He has successfully transitioned numerous concepts from research to patent-protected functional products, contributing significantly to government-funded projects in India.

Online Profiles

ORCID Profile

Dr. Arulpandian maintains a professional presence on LinkedIn, where he shares insights about his latest research, collaborations, and academic initiatives. His profile highlights a comprehensive overview of his research projects, patents, publications, and professional achievements. This platform serves as a hub for connecting with fellow researchers, industry experts, and potential collaborators worldwide.
LinkedIn Profile

Education

Dr. Arulpandian completed his doctoral studies at PSG College of Technology, Coimbatore, earning a Ph.D. in Mechanical Engineering with a strong emphasis on advanced materials and manufacturing processes. Prior to this, he obtained a Master of Engineering degree in Engineering Design from K.S. Rangasamy College of Technology, which equipped him with in-depth knowledge of design principles and simulation tools. His foundational undergraduate education was completed at the Institute of Road and Transport Technology, where he graduated with a Bachelor of Engineering in Mechanical Engineering, laying the groundwork for his research career.

Research Focus

His research primarily focuses on advancing aluminum-based metal matrix composites (MMCs) reinforced with polymer-derived ceramics, aiming to enhance mechanical properties and thermal stability for industrial applications. He employs state-of-the-art characterization techniques such as SEM, EDS, and X-ray analysis to understand material behavior and failure mechanisms. Additionally, Dr. Arulpandian is dedicated to exploring sustainable and renewable energy solutions, including kinetic energy harvesting systems, and has contributed to the design of autonomous agricultural UAVs, reflecting his commitment to integrating engineering innovations with societal benefits.

Experience

Dr. Arulpandian has accrued extensive teaching and research experience in leading academic institutions. As an Assistant Professor, he has guided undergraduate and postgraduate students through industry-relevant projects, fostering practical skills alongside theoretical knowledge. During his tenure as a Project Associate on DST-funded initiatives at PSG College of Technology, he led metallurgical and product design research teams, managing project lifecycles from conception to prototype development. His earlier roles included mentoring design projects and conducting hands-on laboratory sessions, further enhancing his pedagogical expertise.

Research Timeline

Beginning as a Junior Research Fellow on a DRDO project in 2015, Dr. Arulpandian engaged deeply in experimental product design and literature analysis. He transitioned to a pivotal role as a Project Associate on multiple DST-funded projects from 2019 to 2024, leading innovations in metal matrix composite fabrication and testing. Concurrently, he balanced academic responsibilities as an Assistant Professor, culminating in a holistic career that bridges research, teaching, and product development up to mid-2025.

Awards & Honors

Throughout his career, Dr. Arulpandian has been recognized for his contributions to mechanical engineering and material science. Notably, he received the prestigious Young Scientist Award from Makkal Sinthanai Peravai in 2015, honoring his innovative work in UAV development for smart agriculture. He also secured victories in technical competitions at Karpagam Institute of Technology, reflecting his commitment to excellence and continuous learning in engineering domains.

Top-Noted Publication

One of Dr. Arulpandian’s most impactful publications is:
Pandian, A., Chelliah, N. M., Rohatgi, P. K., & Surappa, M. K. (2023). Effect of melt temperature on microstructural and strength properties of in-situ aluminum metal matrix composites containing SiCNO particles. Journal of Composite Materials, 57(9), 1571–1578. This paper investigates critical processing parameters influencing composite microstructure and performance, contributing valuable insights to the field of metal matrix composites. DOI: 10.1177/00219983231158737

  1. Effect of melt temperature on microstructural and strength properties of in-situ aluminum metal matrix composites containing SiCNO particles
    Journal of Composite Materials, 2023
    DOI: 10.1177/00219983231158737
    EID: 2-s2.0-85149395563
    ISSN: 1530-793X, 0021-9983
    Contributors: Pandian, A.; Chelliah, N.M.; Rohatgi, P.K.; Surappa, M.K.
    This paper explores the influence of melt temperature on the microstructure and mechanical strength of aluminum metal matrix composites reinforced with silicon carbonitride oxide (SiCNO) particles produced via in-situ processes. The study offers valuable insights into optimizing processing parameters to achieve improved composite properties, advancing material design for high-performance applications.

  2. Impact of age hardening on the corrosion characteristics of dissimilar aluminum alloys welded using an innovative MIG welding approach
    International Journal of Civil, Environmental and Agricultural Engineering, 2023-12-27
    DOI: 10.34256/ijceae2325
    ISSN: 2582-2721
    Contributors: Sahil Garg; Arulpandian Palanisamy
    This research investigates how age hardening treatments affect corrosion resistance in dissimilar aluminum alloys joined through a novel Metal Inert Gas (MIG) welding technique. The findings contribute to understanding welding metallurgy and corrosion protection strategies, relevant to structural and environmental engineering applications.

Nora Selem, Engineering, Best Researcher Award

Asst. Prof Nora Selem: Assistant Professor Chemical Engineering Department at Chemical Engineering, Higher Technological Institute, Egypt

Dr. Nora Yehia Selem is a highly regarded Egyptian academic and researcher in the field of Chemical Engineering, currently serving as Assistant Professor at the Higher Technological Institute (HTI), Egypt. With over 15 years of experience in teaching and applied research, she has developed a strong interdisciplinary background in chemical process simulation, environmental engineering, and membrane separation technologies. Her expertise lies in applying chemical engineering principles to address global sustainability challenges, including industrial waste management, water purification, and renewable energy. Dr. Selem is recognized for her dedication to student development, international collaboration, and publishing impactful scientific work.

Online Profiles

Google Scholar Profile

Dr. Selem maintains an active presence in academic networks and professional communication platforms. Her Google Scholar profile showcases her research output and citations across environmental engineering, membrane technology, and clean energy fields. As of 2025, Dr. Nora Yehia Selem has accumulated 14 citations on her primary Google Scholar profile and 13 citations on an alternate profile. Her current h-index stands at 3 on the main profile and 2 on the secondary profile. These metrics reflect her emerging influence in the fields of membrane technology, industrial wastewater treatment, and chemical process engineering.

Education

Dr. Selem holds a Ph.D. in Chemical Engineering from Cairo University, earned in 2015, where she conducted advanced research on the preparation of geopolymer bricks using industrial waste materials. Prior to that, she received her Master of Science in Chemical Engineering from the same institution in 2009, focusing on modeling and simulation of reactive distillation columns for MTBE production. She completed her undergraduate studies with distinction at the Higher Technological Institute, earning her Bachelor’s degree in Chemical Engineering in 2005. Her educational background has equipped her with a solid grasp of process design, simulation, and environmental systems.

Research Focus

Dr. Selem’s research encompasses a wide spectrum of themes within chemical and environmental engineering. Her core focus lies in membrane separation technologies, particularly emulsion liquid membranes (ELM) enhanced with nanoparticles and ionic liquids for the efficient removal of heavy metals and pollutants from industrial wastewater. She is also known for her work on geopolymer materials derived from clay and lime-based industrial wastes, contributing to sustainable building materials. In recent years, she has extended her research to include biomass pyrolysis, reactor hydrodynamics using gamma-ray computed tomography, and electrochemical hydrogen production, positioning her work at the intersection of materials science, clean energy, and environmental remediation.

Experience

Dr. Selem began her academic career as a Teaching Assistant in 2005 at HTI, progressing to Assistant Lecturer in 2009 and becoming a full-time Assistant Professor in 2016. Over this time, she has taught a diverse portfolio of courses including heat and mass transfer, polymer chemistry, plant and vessel design, and material and energy balances. She currently teaches both undergraduate and graduate-level subjects, while also supervising student research. Since 2024, she has taken on an additional role as a Part-time Assistant Professor at City University of Cairo, where she teaches general chemistry, environmental impact assessment, and computer-aided design. Her teaching is characterized by clarity, interactivity, and strong linkage to real-world applications.

Research Timeline

Between 2005 and 2009, Dr. Selem conducted her master’s research on reactive distillation modeling, focusing on simulation tools like Aspen Plus. From 2010 to 2015, her Ph.D. research explored geopolymer construction materials from waste sources. From 2016 onward, she delved into wastewater treatment using nanocomposite membranes, advancing her experimental skills and publication record. In 2022, she expanded her international footprint as a Visiting Scholar at Missouri University of Science and Technology, where she collaborated on cutting-edge topics such as trickle-bed reactor hydrodynamics and gamma-ray tomography. Her recent projects (2023–2025) involve phosphoric acid separation, nanocellulose-reinforced membranes, and hydrogen generation from wastewater, aligning with global environmental priorities.

Awards & Honors

Dr. Selem has received numerous national and international recognitions throughout her career. She holds over 20 certifications from institutions such as DAAD, Cairo University, and Missouri S&T, covering topics including radiation safety, university teaching strategies, fundraising skills, and scientific publishing. Notably, she completed a comprehensive laboratory safety training series during her U.S. fellowship in 2022. She has been a member of the Egyptian Society of Membrane Technology (ESMT) since 2023, and has presented her work at prominent conferences such as the International Conference on Solid Waste Technology and Management (USA, 2014) and the International Conference for Membrane Technology (Egypt, 2024).

Top-Noted Publication

Among her impactful contributions, Dr. Selem’s most recognized publication is the article titled “Emulsion liquid membrane (ELM) enhanced by nanoparticles and ionic liquid for extracting vanadium ions from wastewater,” published in Environmental Science and Pollution Research (2024). This study combines innovative membrane engineering with green chemistry approaches to effectively separate heavy metals, offering practical solutions for industrial effluent treatment. The paper has garnered attention for its originality, methodological rigor, and potential application in large-scale water purification systems. It reflects her broader commitment to advancing environmental sustainability through chemical innovation.

  • Local hydrodynamics and phase distribution in large-scale trickle bed reactors using multi-detector γ-ray densitometry
    S. Uribe, A. Jasim, S.A. Gheni, N. Selem, N. Filali, T.M. Leib, S. Sengupta, M.H. Al-Dahhan
    Chemical Engineering Science, Article No. 122095, 2025

  • Emulsion liquid membrane (ELM) technique for efficient separation of heavy metals from acidic solutions including phosphoric acid: a review
    O. Karai, N.Y. Selem, K. Benabderazak, J. Mendil, H. Mazouz, M.H. Al-Dahhan
    International Journal of Environmental Science and Technology, 1–24, 2025

  • Sustainable nanocellulose reinforced polyethersulfone membranes coated with tetraethyl orthosilicate for separation of phosphoric acid from wastewater
    N.Y. Selem, E.S.M. El-Zahed, H. Abdallah, S.A. Hawash
    Applied Water Science, Volume 15, Issue 4, Article 83, 2025

  • Pyrolysis Kinetics of Pumpkin Seeds
    N.Y. Selem
    Journal of Advanced Engineering Trends, Volume 43, Issue 2, pp. 205–217, 2024

  • Kinetics of Pyrolysis of Cigarette Butts
    N.Y. Selem, N.F. Al Hoseny
    Journal of Engineering and Applied Science, Volume 67, Issue 8, pp. 1981–1993, 2020