Hamna Baig | Engineering | Young Researcher Award

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Hamna Baig | Engineering | Young Researcher Award

Ms. Hamna Baig, COMSATS University Islamabad, Attock Campus, Pakistan

Hamna Baig is a passionate and accomplished Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A Gold Medalist with a stellar CGPA of 3.66/4, she blends academic brilliance with innovation and creativity. Her work spans artificial intelligence, robotics, and smart systems—areas where she has made significant strides through hands-on projects, impactful research, and active involvement in technical writing. Hamna’s proactive participation in conferences, internships, and AI-based research projects has not only sharpened her technical expertise but also highlighted her commitment to using technology for social and environmental betterment. Adept in Python, MATLAB, LabVIEW, and embedded systems, she continues to evolve in her pursuit of excellence. Fluent in English, Urdu, and Punjabi, Hamna is driven by her curiosity, resilience, and desire to solve real-world problems through sustainable technology and intelligent systems. She is currently engaged in research and technical writing, aiming to make a lasting impact in the field.

Publication Profile

Google Scholar

Education

Hamna Baig completed her Bachelor of Science in Electrical Engineering from COMSATS University Islamabad, Attock Campus (2020–2024), graduating with distinction and securing a Gold Medal. Her final CGPA of 3.66/4 (91.5%) reflects her unwavering dedication and academic rigor. During her studies, she actively explored artificial intelligence, robotics, and embedded systems, with her thesis titled: “Enhancing Home Comfort with an Artificial Intelligence-based Environmental Control Model”. Hamna supplemented her academic journey with multiple certified online courses, including Machine Learning Specialization and Generative AI for Everyone offered by Stanford University via Coursera. Her technical training spans MATLAB, LabVIEW, Arduino, KEIL, Proteus, and microcontroller-based systems, showcasing both breadth and depth. Driven by curiosity and innovation, Hamna transformed theoretical knowledge into practical, real-world solutions through capstone projects and internships. Her continuous pursuit of learning makes her a standout in the evolving field of intelligent systems and energy-efficient technologies.

Experience

Hamna Baig has gained diverse experience through internships, research positions, and technical writing roles. She is currently an Internee at the Department of Electrical and Computer Engineering, COMSATS University Islamabad under the PEC GIT program, where she supports research on intelligent systems. Previously, she interned at the Ghazi-Barotha Hydro Power Plant (WAPDA) in 2023, gaining field exposure to power systems and operational technologies. Additionally, she works as a Technical Writer (Electrical & Electronics) with CDR Professionals, where she contributes research-based content and technical documentation. Hamna’s practical expertise includes projects in AI-driven sensing systems, robotic control, and smart energy applications. Her collaborative work on software-defined RF sensing and machine learning models demonstrates her ability to blend theoretical knowledge with real-time implementation. From smart home innovations to robotic arms and biomedical sensing, Hamna has exhibited both vision and versatility, positioning herself as a promising young engineer in AI, robotics, and embedded control.

Awards and Honors

Hamna Baig has been recognized for her academic excellence, research presentations, and contributions to intelligent systems. She earned a Gold Medal for outstanding academic performance during her Bachelor’s degree. She received Certificates of Gratitude for presenting papers at major conferences including the International Conference on Innovations in Computing Technologies (UET Peshawar), ICCSI (University of Haripur), and ICCIS (Kohat University). Her research presentations on AI-based fan control, robotic fruit harvesting, and end effector position estimation have been acknowledged for their innovation and technical depth. Additionally, she earned certifications from Coursera in prestigious Stanford-offered courses like Machine Learning Specialization and Generative AI for Everyone, showcasing her commitment to continuous learning. Her accolades reflect her dedication to cutting-edge research and meaningful contributions to the engineering community. These awards and recognitions not only celebrate her achievements but also affirm her potential as a leading innovator in AI-driven electrical and robotic systems.

Research Focus

Hamna Baig’s research is centered around Artificial Intelligence, Machine Learning, Robotics, and Wireless Sensing Systems. Her projects emphasize the application of deep learning and AI models for real-world problem-solving, particularly in healthcare monitoring, smart energy systems, and precision robotics. She has developed RF sensing platforms for gait monitoring in Parkinson’s patients, designed AI-based systems for environmental control, and contributed to machine learning-driven robotic arm control for fruit harvesting and biopsy systems. Hamna’s work also explores adaptive fan control for residential energy efficiency and wireless sensing to prevent bedsores, reflecting her commitment to tech-driven well-being. With a blend of academic rigor and engineering intuition, she is passionate about pushing the boundaries of intelligent systems to improve quality of life. Hamna continues to refine her skills in AI integration with embedded hardware, and her ongoing research contributes to the advancement of energy-aware, health-supportive, and human-centric technologies.

Publication Top Notes

  • 📘 Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing – Electronics (2025)

  • 🤖 Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace – IJIST Journal (2024)

  • 🍊 A Robotic Approach for Fruit Harvesting with Machine Learning based Joint Angles Prediction – ICCSI Conference (2024)

  • 🌬️ Artificial Intelligence based Adaptive Fan Control in Office Settings for Energy Efficiency – ICCIS Conference / Springer (2024)

  • 🦾 A Robotic Arm Based Intelligent Biopsy System – ICCIS Conference / Springer (2024)

  • 🛏️ Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores – IEEE Sensors (Under Review)

  • 🏠 Enhancing Home Comfort and Energy Consumption with an AI-based Environmental Sensing Control Model – PeerJ (Under Review)

  • 🌬️ Breathing Techniques Redefined: Pros and Cons of Traditional Methods & the Promise of SDRF Sensing – Elsevier, Digital Communications and Networks (Under Review)

Oguzhan Yilmaz | Engineering | Best Researcher Award

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Oguzhan Yilmaz | Engineering | Best Researcher Award

Prof. Dr Oguzhan Yilmaz, Gazi University, Turkey

Professor Oğuzhan Yılmaz is a distinguished mechanical engineering expert specializing in machine elements, computer-aided design and manufacturing, and non-traditional manufacturing methods. He is a professor at Gazi University, Turkey, contributing extensively to research and education in advanced manufacturing. He completed his doctorate at the University of Nottingham, UK, further enhancing his expertise in manufacturing engineering and operations management. With a career spanning over two decades, he has held editorial roles in prestigious scientific journals and actively participates in peer reviewing for high-impact publications. His research focuses on innovative and sustainable manufacturing techniques, integrating modern computational tools into engineering solutions. Prof. Yılmaz has received multiple awards for his contributions to research, peer reviewing, and academic leadership. He continues to influence the global engineering community through his editorial work, research collaborations, and mentorship of future engineers. His dedication to advancing mechanical engineering makes him a key figure in the field.

Publication Profile

google scholar

Education

Professor Oğuzhan Yılmaz holds a Doctorate (2002-2006) from the University of Nottingham, UK, where he specialized in Manufacturing Engineering and Operations Management, focusing on advanced production techniques. He completed his Postgraduate studies (1997-1999) at Gaziantep University, Turkey, in the Faculty of Engineering, Department of Mechanical Engineering (English), where he specialized in mechanical system design and material processing. His academic journey began with a Bachelor’s degree (1992-1997) from the same institution, where he built a strong foundation in mechanical systems, machine elements, and computational engineering. With a career spanning international institutions and advanced research in manufacturing and mechanical design, he has demonstrated a strong commitment to innovation, sustainability, and technological advancements in mechanical engineering. His diverse educational background has equipped him with the expertise to contribute significantly to the field of advanced manufacturing and engineering solutions.

Experience

Professor Oğuzhan Yılmaz is a distinguished faculty member at Gazi University, Turkey, where he leads research and teaches courses in mechanical design, manufacturing, and computational engineering. His expertise extends beyond academia, as he plays a significant role in the scientific publishing community, holding editorial positions in SCI-indexed journals, including the Journal of Materials Processing Technology and the International Journal of Advanced Manufacturing Technology. Since 2021, he has been a committee member for the Journal of Additive Manufacturing Technology, contributing to advancements in additive and digital manufacturing. He has also served as Assistant Editor/Section Editor (2017-Present) for Makina Tasarım ve İmalat Dergisi and as First Editor (2015-Present) for the Journal of the Faculty of Engineering and Architecture of Gazi University. Additionally, he collaborates with international institutions to drive innovation in manufacturing technologies and automation, further cementing his influence in the modern engineering landscape.

Awards & Honors

Professor Oğuzhan Yılmaz has received numerous accolades for his outstanding contributions to engineering research, particularly in mechanical design and advanced manufacturing. He has been honored with the Outstanding Contribution to Engineering Research Award for his pioneering studies that have significantly influenced the field. His dedication to academic publishing and peer review has earned him the Top Reviewer Award, recognizing his excellence in evaluating manuscripts for leading SCI-indexed journals. Additionally, he has received the Editorial Excellence Award for his significant contributions to journal editing and manuscript evaluation. His innovative research has been acknowledged with the Best Research Paper Award, highlighting his groundbreaking work in manufacturing technologies. As a dedicated educator, he has also been recognized with the Distinguished Faculty Award, celebrating his exceptional teaching, mentorship, and academic leadership. His achievements underscore his commitment to research innovation, scholarly contributions, and academic excellence in mechanical engineering.

Research Focus

Professor Oğuzhan Yılmaz’s research spans several critical areas in mechanical and manufacturing engineering, with a strong emphasis on innovation and sustainability. His expertise in Machine Elements involves the advanced design and analysis of mechanical components for industrial applications, optimizing performance and durability. He is also deeply involved in Computer-Aided Design and Manufacturing (CAD/CAM), where he integrates software tools to enhance precision engineering and automation. His work in Non-Traditional Manufacturing Methods explores innovative fabrication techniques beyond conventional machining, pushing the boundaries of modern engineering. Additionally, his research in Advanced Manufacturing Technologies focuses on high-precision, cost-effective production methodologies that drive industrial efficiency. With a commitment to Sustainable Engineering Solutions, he develops environmentally friendly and energy-efficient manufacturing processes. His research aims to redefine modern manufacturing by seamlessly integrating automation, sustainability, and precision engineering to meet the evolving demands of the industry.

Publication Top Notes

📜Wire Arc Additive Manufacturing (Metal Inert Gas-Cold Metal Transfer) of ER70S-6: Experimental and Computational Analysis on Process, Microstructure, and Mechanical Property Relationships
🔥 Thermal Behavior in Wire Arc Additive Manufacturing: A Comparative Study of the Conventional Process and Infrared Heater Use
🔬 Surface Characteristics of Additively Manufactured γ-TiAl Intermetallic Alloys Post-Processed by Electrochemical Machining
⚙️ Directed Energy Deposition of PH 13–8Mo Stainless Steel: Microstructure and Mechanical Property Analysis
💡 Enhancement of Surface Characteristics of Additively Manufactured γ-TiAl and IN939 Alloys after Laser Shock Processing
🛠️ Influence of Laser Polishing Process Parameters on Surface Integrity and Morphology of Ti-6Al-4V Parts Produced via Electron Beam Melting
🔍 Electrochemical Machining of Additively Manufactured γ-TiAl Parts: Post-Processing Technique to Reduce Surface Roughness
📏 A Deposition Strategy for Wire Arc Additive Manufacturing Based on Temperature Variance Analysis to Minimize Overflow and Distortion
🔥 The Effect of Evaporation and Recoil Pressure on Energy Loss and Melt Pool Profile in Selective Electron Beam Melting
🧪 Computational Evaluation of Temperature-Dependent Microstructural Transformations of Ti-6Al-4V for Laser Powder Bed Fusion Process
🔬 Micromechanical Characterization of Additively Manufactured Ti-6Al-4V Parts Produced by Electron Beam Melting
🌡️ Volumetric Heat Source Model for Laser-Based Powder Bed Fusion Process in Additive Manufacturing
📐 Radially Graded Porous Structure Design for Laser Powder Bed Fusion Additive Manufacturing of Ti-6Al-4V Alloy
💎 Surface Characteristics of Laser Polished Ti-6Al-4V Parts Produced by Electron Beam Melting Additive Manufacturing Process
🛠️ Wire Arc Additive Manufacturing of High-Strength Low Alloy Steels: Study of Process Parameters and Their Influence on the Bead Geometry and Mechanical Characteristics

Pallavi Singh | Engineering | Most Cited Article Award

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Dr. Pallavi Singh | Engineering | Most Cited Article Award

Dr. Pallavi Singh, Hindustan Institute of technology and science, India

Dr. Pallavi Singh is a distinguished academic and researcher in Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. She has over a decade of teaching experience, including roles at MANIT Bhopal and CMRIT Bangalore, and a year in the industry at Spice.Net Limited, Delhi. Her research focuses on optical technologies, including SOA-MZI-based systems for optical logic gates and communication. She has authored numerous SCI-indexed journal articles on optical computing and network systems. With extensive academic contributions, Dr. Singh continues to advance optical communication technologies.

Professional Profiles

Scopus Profile

Orcid Profile

Google scholar Profile

Professionals Experience

Pallavi Singh is an accomplished professional with extensive experience in the fields of engineering, teaching, and research. She holds a robust academic and professional background in Electronics and Communication Engineering. Pallavi began her career in the industry as an Engineer in the Technical Support Division at EIL Delhi, working with Spice.Net Limited, New Delhi, from June 2002 to August 2003. She later transitioned to academia, amassing over 10 years of teaching experience in prestigious institutions across India.

Her teaching tenure includes roles as Lecturer at MANIT Bhopal and CMRIT Bangalore, where she gained valuable experience educating and mentoring students. Since July 2018, she has been serving as an Assistant Professor (Selection Grade) at Hindustan Institute of Technology and Science, Chennai, a renowned Deemed-to-be University. Her teaching career is complemented by her research expertise, gained during her four years and five months as a researcher at Allahabad University, Uttar Pradesh, where she delved into critical areas of Electronics and Communication Engineering.

Research Interests

Pallavi’s research interests focus on advanced communication systems, signal processing, and electronic circuit design, aiming to contribute innovative solutions to the industry and academia. With a blend of industrial, academic, and research experiences, Pallavi Singh is dedicated to advancing the field of Electronics and Communication Engineering through her work as an educator, mentor, and researcher.

Publications 

“Robotic Surveillance Monitoring for Land and Underwater Security”

Authors: Manoharan, L., Singh, P., Kumar, V.V., Adhil, M., Priyan, S.S.

Year: 2024

Citations: 0

“Smart City Transport Updater”

Authors: Kavitha, C.B., Singh, P., Vardhan, K.L., Deepak, D.

Year: 2023

Citations: 0

“Neural Network Architecture for ROI Segmentation Based on Melanoma Detection”

Authors: Singh, P., B.c, K., Naveen, P., Reddy, N.K.

Year: 2023

Citations: 0

Journal Articles

“Light fidelity optical network a comparative performance evaluation”

Authors: Tripathi, D.K., Singh, P.

Year: 2023

Citations: 1

“Novel approach to jointly optimize working and spare capacity of survivable optical networks”

Authors: Singh, A.K., Arun, V., Singh, P., Upadhayay, K.K.

Year: 2023

Citations: 0

“Comparative study of all-optical INVERTER and BUFFER gates using MZI structure”

Authors: Singh, P., Singh, A.K., Arun, V., Tripathi, D.K.

Year: 2023

Citations: 4

Conclusion

Dr. Pallavi Singh is a strong candidate for the “Most Cited Article Award.” Her impactful contributions to optical systems and logic gate designs, coupled with a consistent record of publications in high-impact journals, highlight her excellence in research. Addressing minor gaps in collaboration and visibility could further solidify her candidacy for this prestigious recognition.

 

 

 

Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

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Assoc Prof Dr. Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

professor at Faculty of engineering University of Kraguejvac, Serbia

Dr. Aleksandar Jovanovic is a distinguished academic with extensive experience in transportation and traffic engineering. He completed his PhD at the University of Belgrade in 2017, focusing on Operations Research in Urban Transportation. His academic journey also includes an MSc and BSc in Traffic Engineering and Urban Transportation from the same institution. Dr. Jovanovic’s career encompasses a range of positions, including his current role as Associate Professor at the University of Kragujevac, Serbia, where he has been employed since November 2022. He has previously served as a Postdoctoral Associate at the University of Pittsburgh, and as a Visiting Scholar there. His earlier roles include Assistant Professor at the University of Kragujevac, and Visiting Assistant Professor at the University of Banja Luka. His teaching experience spans undergraduate and graduate courses in traffic engineering, both in Serbia and the United States. He has been recognized with several honors, including a Professional Development Award in 2023 and the Best Paper Award at ICCMAE 2018. Dr. Jovanovic was also a recipient of the Serbian Governmental Scholarship from 2006 to 2017.

Professional Profiles:

📚 Education:

Dr. Aleksandar Jovanovic completed his PhD at the University of Belgrade, Serbia, in October 2017, specializing in Operations Research in Urban Transportation at the Faculty of Transport and Traffic Engineering. Prior to this, he earned his MSc in Traffic Engineering from the same institution in October 2011. Dr. Jovanovic’s academic journey began with a BSc in Urban Transportation, also from the University of Belgrade, awarded in October 2010.

Pofessional Experience:

Dr. Aleksandar Jovanovic has accumulated a wealth of experience in academia and research. From November 2022 to October 2023, he served as a Postdoctoral Associate at the University of Pittsburgh’s Swanson School of Engineering. Prior to this, he was a Visiting Scholar at the same institution from August to November 2021. Currently, Dr. Jovanovic holds the position of Associate Professor at the Department for Motor Vehicles and Motors at the University of Kragujevac, Faculty of Engineering in Serbia, a role he has occupied since November 2022. He previously served as an Assistant Professor at the same department from September 2018 to November 2022 and as a Visiting Assistant Professor at the University of Banja Luka, Faculty of Mechanical Engineering, from March 2019 to October 2022. Earlier in his career, Dr. Jovanovic was a Teaching Assistant in the Department of Road Traffic at the State Engineering College of Applied Studies “Tehnikum Taurunum” in Belgrade from September 2016 to September 2018, and a Junior Teaching Assistant at the State Technical College of Applied Studies in Kragujevac from September 2013 to September 2015.

Teaching Experience:

Dr. Aleksandar Jovanovic has an extensive teaching background, spanning both undergraduate and graduate courses. At the University of Pittsburgh, he has served as a Co-Instructor for the undergraduate courses “Traffic Control Systems” in Spring 2023 and “Traffic Management and Operations” in Fall 2023. At the University of Kragujevac, his teaching roles included instructing undergraduate courses such as “Urban Transportation” from Spring 2018 to 2022, “Traffic Safety” from Fall 2018 to 2021, and “Informatics in Traffic Engineering” from Spring 2018 to 2022. He also co-instructed “Traffic and Traffic Roads” from Fall 2018 to 2020. For graduate students at the University of Kragujevac, Dr. Jovanovic taught “Informatic Systems in Traffic Engineering” in Spring 2018 to 2022, and “Operations Research Applications in Traffic Engineering” from Fall 2019 to 2021. Additionally, he provided a lecture on “Applications of Fuzzy Logic Systems in Traffic Signal Control” for graduate students at the Pittsburgh Intelligent Transportation Systems (PITTs) Lab in Fall 2021.

Awards And Honors:

Dr. Aleksandar Jovanovic has received several notable honors and awards throughout his career. In 2023, he was recognized with a Professional Development Award for his poster presentation at the Postdoctoral Data and Dine Symposium. In 2019, he earned the Best Paper Award at the International Conference on Computational Mathematics and Engineering (ICCMAE) 2018 in Timisoara, specifically in the Applied/Computational Mathematics section. Additionally, between 2006 and 2017, Dr. Jovanovic was a recipient of the Serbian Governmental Scholarship, reflecting his academic excellence and commitment to his field.

Skills:

Dr. Aleksandar Jovanovic possesses a diverse set of computer skills and competencies. In the field of traffic simulation and analysis, he is proficient with tools such as PTV Vissim (including COM and VAP), HCS+T7F, Synchro, and SUMO. For design tasks, he utilizes AutoCAD. Additionally, Dr. Jovanovic is skilled in scripting languages, including Matlab and Python, which he employs for various analytical and programming tasks.

📚Publications :

“Area-wide urban traffic control: A Bee Colony Optimization approach”
Authors: A Jovanović, M Nikolić, D Teodorović
Citations: 85
Year: 2017

“Green vehicle routing in urban zones–A neuro-fuzzy approach”
Authors: AD Jovanović, DS Pamučar, S Pejčić-Tarle
Citations: 82
Year: 2014

“Pre-timed control for an under-saturated and over-saturated isolated intersection: a Bee Colony Optimization approach”
Authors: A Jovanović, D Teodorović
Citations: 26
Year: 2017

“Ecology based network traffic control: A bee colony optimization approach”
Authors: A Jovanović, A Stevanović, N Dobrota, D Teodorović
Citations: 13
Year: 2022

“Fixed-time traffic control at superstreet intersections by bee colony optimization”
Authors: A Jovanović, D Teodorović
Citations: 12
Year: 2022

“The assessment and selection of suppliers using AHP and MABAC with type-2 fuzzy numbers in automotive industry”
Authors: N Komatina, D Tadić, A Aleksić, AD Jovanović
Citations: 11
Year: 2023

“Restricted crossing U-turn traffic control by interval Type-2 fuzzy logic”
Authors: A Jovanović, K Kukić, A Stevanović, D Teodorović
Citations: 11
Year: 2023

“Type-2 fuzzy logic based transit priority strategy”
Authors: A Jovanović, D Teodorović
Citations: 10
Year: 2022

“A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system”
Authors: A Jovanović, K Kukić, A Stevanović
Citations: 9
Year: 2021

“Multi-objective optimization of a single intersection”
Authors: A Jovanović, D Teodorović
Citations: 8
Year: 2021