Sheharyar Khan | Engineering | Young Scientist Award

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Dr. Sheharyar Khan l Engineering
| Young Scientist Award

Shandong University | Pakistan

Dr. Sheharyar Khan is a distinguished computer scientist and software engineer with extensive expertise in software engineering, artificial intelligence, and cybersecurity, specializing in IoMT edge-cloud frameworks and network intrusion detection systems. Currently a Postdoctoral Research Fellow at Shandong University, he leads independent and collaborative research initiatives, designing experiments, analyzing data, and publishing findings in high-impact journals. His doctoral research at Northwestern Polytechnical University focused on optimization-based hybrid offloading frameworks for IoMT in edge-cloud healthcare systems, demonstrating the integration of advanced computing techniques with practical healthcare applications. Dr. Khan has made significant contributions to explainable AI and hybrid ensemble machine learning, as seen in publications such as “HCIVAD: Explainable hybrid voting classifier for network intrusion detection systems” and “Consensus hybrid ensemble machine learning for intrusion detection with explainable AI”. With prior experience as a lecturer and IT specialist, he combines academic rigor with practical software development expertise. Dr. Khan has 104 citations across 10 documents, an h-index of 6, an i10-index of 5, is indexed under Scopus Author ID 57221647889, and holds ORCID 0000-0002-0089-0168, reflecting his impact on the field. Recognized for his analytical skills, innovation, and interdisciplinary research, he continues to advance secure, intelligent, and explainable computing systems for both academic and real-world applications.

Profile: Scopus | Google Scholar | Orcid | Researchgate 

Featured Publications

Khan, S., Liu, S., Pan, L., & Mei, G. (2025). Optimization-based hybrid offloading framework for IoMT in edge-cloud healthcare systems. Future Generation Computer Systems, 108163. https://doi.org/

Ahmed, S. K. M. T. S., Jiangbin, Z., & Khan, S. (2025). HCIVAD: Explainable hybrid voting classifier for network intrusion detection systems. Cluster Computing, 28(343). https://doi.org/

Ahmed, M. T. S., Jiangbin, Z., & Khan, S. (2024). Consensus hybrid ensemble machine learning for intrusion detection with explainable AI. Journal of Network and Computer Applications, 5*. https://doi.org/

Khan, S., Jiangbin, Z., & Ali, H. (2024). Soft computing approaches for dynamic multi-objective evaluation of computational offloading: A literature review. Cluster Computing, 27(9), 12459–12481. https://doi.org/

Yogesh Thakare | Engineering | Best Researcher Award

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Yogesh Thakare | Engineering | Best Researcher Award

Dr Yogesh Thakare, Ramdeobaba University, Nagpur, India

Dr. Yogesh Thakare 🎓 is an accomplished researcher and educator in Electronics and Communication Engineering. He earned his Ph.D. (2020) from SGB Amravati University, specializing in DRAM design using submicron technology 💾. Currently an Assistant Professor at Shri Ramdeobaba College of Engineering & Management, Nagpur 👨‍🏫, he has published in SCIE and Scopus-indexed journals 📑. His research spans FPGA architectures, AI, IoT, and biomedical systems 🤖. A GATE qualifier (94.92%), he has led government-funded projects 💰 and organized AI & IoT workshops 🏗️. Passionate about innovation, he contributes to cutting-edge electronics and computing technologies ⚡.

Publication Profile

Google Scholar

Academic Excellence

Dr. Yogesh Thakare earned his Ph.D. in Electronics Engineering from SGB Amravati University in 2020, focusing on Dynamic Random Access Memory (DRAM) design using submicron technology ⚡🔬. His academic journey reflects excellence, having completed his M.Tech with Distinction (85.10%) 🎓🏆 and his B.E. with First-Class (72.62%) 📚✨. With a strong foundation in electronics and a passion for advanced semiconductor technologies, Dr. Thakare has made significant contributions to memory design and innovation. His expertise in microelectronics and circuit design continues to drive advancements in the field, shaping the future of high-performance computing and digital storage solutions 💡🔍.

Funded Research & Grants

Dr. Yogesh Thakare has demonstrated exceptional research leadership by securing ₹24.6 Lakhs from CSIR for developing an automated water distribution system 💧🔬. His innovative approach aims to enhance water management efficiency through automation, contributing to sustainable resource utilization 🌱💡. This significant funding underscores his expertise in engineering solutions that address real-world challenges 🏗️⚙️. With a strong commitment to technological advancement, Dr. Thakare continues to drive impactful research that promotes water conservation and smart distribution systems 🌍📊. His work not only fosters scientific progress but also supports community welfare by ensuring efficient and equitable water access 🚰✅.

Experience

Dr. Yogesh Thakare is an experienced educator with over 14 years of teaching in top engineering institutes 🏫, including Shri Ramdeobaba College of Engineering and Management, Nagpur. As an Assistant Professor, he has played a key role in shaping technical education 📚. His passion for emerging technologies has led him to organize numerous workshops on Artificial Intelligence 🤖, the Internet of Things 🌐, and Machine Learning 📊, empowering students with cutting-edge knowledge. Through his dedication to academic excellence and innovation, Dr. Thakare continues to inspire the next generation of engineers and researchers 🚀.

Research Focus

Dr. Yogesh Thakare’s research spans electronics, artificial intelligence, IoT, and machine learning 🤖📡. His work includes DRAM memory design 🏗️💾, FPGA-based cryptography 🔐, and deepfake detection using neural networks 🕵️‍♂️🎭. He has contributed to environmental intelligence systems 🌱📊, weather prediction for agriculture 🌦️🚜, and smart monitoring technologies 📡🏠. Additionally, he has explored cortisol detection for stress monitoring 🧪⚕️ and crime reporting frameworks 🚔📜. His interdisciplinary research integrates hardware and AI-driven solutions, making impactful advancements in computing, security, and human well-being 🔬💡. His innovative approach bridges technology and real-world applications, enhancing automation, safety, and intelligence. 🚀

Publication Top Notes

Intelligent Life Saver System for People Living in Earthquake Zone.

An Effect of Process Variation on 3T-1D DRAM

Analysis of power dissipation in design of capacitorless embedded DRAM

IoT-Enabled Environmental Intelligence: A Smart Monitoring System

Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory.

A Read-out Scheme of 1T-1D DRAM Design with Transistor Assisted Decoupled Sensing Amplifier in 7 nm Technology

Enhancing weather prediction and forecasting for agricultural applications using machine learning

FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices

Crafting visual art from text: A generative approach

Cortisol Detection Methods for Stress Monitoring: Current Insight and Future Prospect: A Review

An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in Advanced Driving Assistance Systems

Development and design approach of an sEMG-based Eye movement control system for paralyzed individuals

 

Rayk Fritzsche | Engineering | Best Scholar Award

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Dr. Rayk Fritzsche | Engineering | Best Scholar Award

Gruppenleiter at Fraunhofer IWU, Germany

Dr.-Ing. Rayk Fritzsche is a distinguished researcher and group leader at Fraunhofer IWU, specializing in adaptable assembly systems and intelligent manufacturing. With a Dr.-Ing. (magna cum laude) from TU Dresden, he has made significant contributions to automation, AI-driven assembly, and car body manufacturing. His six patents and numerous peer-reviewed publications in CIRP, IEEE, and Automatica highlight his innovative work in industrial automation. Dr. Fritzsche’s research integrates artificial intelligence, robotics, and software-assisted design, making impactful advancements in automotive, aerospace, and fuel cell production. His Best Paper Award at CIRP ICME 2022 underscores his excellence in academic contributions. Beyond research, his leadership at Fraunhofer IWU and collaborations with industry leaders drive innovation in smart manufacturing. To further enhance his global recognition, expanding interdisciplinary projects and academic mentorship could elevate his influence in the field. His expertise and contributions make him a strong candidate for the Best Scholar Award.

Professional Profile

Education

Dr. Rayk Fritzsche’s educational journey reflects a blend of athletic excellence and academic rigor. He graduated from the Sportgymnasium Chemnitz with an Abitur in 1996, after years of pursuing speed skating at a competitive level. Following this, he transitioned into mechanical engineering, earning a Dipl.-Ing. degree from TU Chemnitz in 2009, specializing in construction and drive technology. His academic path was marked by internships and practical experiences, including at BMW and IAV GmbH, where he gained hands-on exposure to quality management and powertrain development. Dr. Fritzsche’s commitment to further education led him to pursue a doctoral degree at TU Dresden, where he successfully completed his dissertation in 2022 with the distinction magna cum laude. His thesis focused on adaptable assembly systems, solidifying his expertise in advanced manufacturing technologies and positioning him as a leader in the field of intelligent production systems.

Professional Experience

Dr. Rayk Fritzsche has had a distinguished career at Fraunhofer IWU, where he has held several key positions since 2009. After starting as an assistant scientist in 2009, he quickly advanced to become a research associate and later a group leader in the Assembly Systems Department, focusing on body construction and assembly. By 2018, he was appointed deputy head of the department, leading research in adaptable assembly systems. Dr. Fritzsche’s leadership culminated in his current role as group leader in charge of adaptable assembly systems at Fraunhofer IWU. His professional experience is complemented by valuable internships and roles at BMW Leipzig and IAV GmbH, where he focused on quality management and powertrain development. Throughout his career, Dr. Fritzsche has consistently contributed to cutting-edge research and technological advancements in intelligent manufacturing, automation, and AI-driven assembly systems, influencing both industry and academia.

Research Interest

Dr. Rayk Fritzsche’s research interests focus on advancing intelligent manufacturing and automation technologies with a particular emphasis on adaptable assembly systems. He is deeply engaged in the integration of artificial intelligence and robotics into industrial production, aiming to enhance flexibility, efficiency, and precision in assembly processes. His work addresses key challenges in automated fixture design, utilizing software-supported systems for positioning and clamping in car body manufacturing. Additionally, Dr. Fritzsche explores the use of mathematical algorithms and geometry-based search methods to optimize production workflows and reduce resource consumption. His research also extends to advanced AI applications, including machine learning for optimizing assembly system configurations and leveraging virtual reality and augmented reality for real-time process improvements. Dr. Fritzsche’s interests span across high-rate production, fuel cell manufacturing, and bio-inspired design, positioning him at the forefront of innovation in smart and sustainable manufacturing.

Award and Honor

Dr. Rayk Fritzsche has received several notable awards and honors in recognition of his groundbreaking contributions to intelligent manufacturing and automation. One of his most distinguished accolades is the Best Paper Award in 2022 at the CIRP ICME Conference, for his innovative work on software-assisted clamping point classification and position optimization for flexible car body fixtures. This recognition highlights his excellence in applying mathematical geometry-based algorithms to optimize production processes. In addition to this prestigious award, Dr. Fritzsche holds multiple patents for his inventions in automated fixture systems and adaptable assembly technologies, underscoring his impact on the industrial sector. His extensive contributions to both academic and practical advancements in automation, robotics, and AI in manufacturing have earned him recognition as a leader in his field. Dr. Fritzsche’s work continues to influence manufacturing practices, ensuring his place among top researchers in industrial engineering.

Conclusion

Dr. Rayk Fritzsche is highly suitable for the Best Scholar Award due to his strong research output, patents, industry impact, and academic excellence. His contributions to intelligent manufacturing, automation, and AI-driven assembly systems place him among top scholars in his field. While already highly accomplished, expanding international collaboration and interdisciplinary research could further enhance his scholarly profile.

Publications Top Noted

  • Title: Computer-based design and development of a fully automated assembly of aircraft doors made of thermoplastic composite material
    Authors: Fritzsche, R., Jäger, E.
    Year: 2024
    Citations: 0
  • Title: Development of a suction gripper network based on the biological role model of an octopus
    Authors: Fritzsche, R., Kunze, H., Jäger, E.
    Year: 2024
    Citations: 0
  • Title: Autonomous assembly and disassembly by cognition using hybrid assembly cells
    Authors: Frieß, U., Oberfichtner, L., Hellmich, A., Fritzsche, R., Ihlenfeldt, S.
    Year: 2023
    Citations: 0
  • Title: Software support for the development of flexible plant technology in highly automated and high-rate body-in-white production
    Authors: Fritzsche, R., Ahrens, A.
    Year: 2023
    Citations: 0
  • Title: Autonomous assembly and disassembly – Key technologies and links for the adaptive self-optimization of future circular production
    Authors: Ihlenfeldt, S., Lorenz, M., Frieß, U., Fritzsche, R.
    Year: 2023
    Citations: 0
  • Title: Automated gripper design | DesignAssistant – multikriterielle optimierte Konstruktion mit digitalen Baukästen Automatisierter Greiferentwurf
    Authors: Ahrens, A., Oberfichtner, L., Richter-Trummer, V., Frieß, U., Ihlenfeldt, S.
    Year: 2022
    Citations: 0
  • Title: Solving a multi-dimensional matching problem for grouping clamping points on car body parts
    Authors: Oberfichtner, L., Ahrens, A., Fritzsche, R., Richter-Trummer, V., Todtermuschke, M.
    Year: 2022
    Citations: 3
  • Title: Software assisted clamping point classification and position optimization for the efficient flexibilization of carbody fixtures using mathematical geometry-based search algorithms
    Authors: Fritzsche, R., Schaffrath, R., Todtermuschke, M.
    Year: 2021
    Citations: 4
  • Title: Automated design of product-flexible car body fixtures with software-supported part alignment using particle swarm optimization
    Authors: Fritzsche, R., Voigt, E., Schaffrath, R., Todtermuschke, M., Röber, M.
    Year: 2020
    Citations: 9
  • Title: Hololens AR-using vuforia-based marker tracking together with text recognition in an assembly scenario
    Authors: Knopp, S., Klimant, P., Schaffrath, R., Fritzsche, R., Allmacher, C.
    Year: 2019
    Citations: 11

 

Adrian Pisla | Engineering | Best Researcher Award

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Adrian Pisla | Engineering | Best Researcher Award

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

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

Publication Profile

google scholar

Education

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

Experience

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

International Recognition

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

Awards and Distinctions

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

Research Focus

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

Publication Top Notes

Systematic design of a parallel robotic system for lower limb rehabilitation

Agile, waterfall and iterative approach in information technology projects

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

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

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

Kinematical analysis and design of a new surgical parallel robot

Desen Özkan | Engineering | Best Researcher Award

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Desen Özkan | Engineering | Best Researcher Award

Dr Desen Özkan, University of Connecticut, United States

Dr. Desen Özkan is an Assistant Professor of Chemical and Biomolecular Engineering at the University of Connecticut, with an affiliate position in the Neag School of Education. He is also the Graduate Program Director for the Engineering Education Ph.D. program. Dr. Özkan’s research focuses on sociotechnical identity development, equity in engineering education, and offshore wind energy. He holds a Ph.D. in Engineering Education from Virginia Tech and has held postdoctoral roles at Tufts University. Dr. Özkan’s work bridges engineering, education, and social justice, emphasizing interdisciplinary collaboration and inclusive curricula. 🌍⚙️📚💡🌱

Publication Profile

google scholar

Education

Dr. Desen Özkan holds a Ph.D. in Engineering Education from Virginia Polytechnic Institute and State University (2020), where she focused on transdisciplinary approaches in interdisciplinary faculty teaching. She has an extensive academic background with courses from prestigious institutions. Dr. Özkan completed projects on offshore wind energy economics at the University of Massachusetts and structural engineering at Tufts University. She also studied environmental chemistry, microbiology, and mathematical modeling at the University of Tennessee. Her B.S. in Chemical and Biological Engineering was earned at Tufts University in 2013. Dr. Özkan’s work merges engineering, education, and sustainability. 🌍⚙️🎓📚

Experience

Dr. Desen Özkan has diverse research experience in both engineering and social sciences. As a Postdoctoral Researcher at Tufts University, she analyzed job development in Maine’s offshore wind industry, producing the report Floating to the Top (2021), and contributed to a study on equity in offshore wind job development, invited by Connecticut State Legislators (2022). At Virginia Tech, she worked on the NSF-funded Revolutionizing Engineering and Computer Engineering Departments project (2018-2019) and contributed to the Science, Technology, and Society department’s undergraduate degree proposal (2019). Additionally, Dr. Özkan conducted water quality research at the University of Tennessee, focusing on wastewater reclamation. 🌊💡🔬

Awards and Recognition

Dr. Desen Özkan has received multiple nominations for Tufts University’s Significant Impact Awards, recognizing her outstanding contributions to STEM education. Her dedication to mentoring and promoting diversity within the field has been a hallmark of her career. Additionally, Dr. Özkan was selected to participate in the prestigious New Energy Summer Summit at Dartmouth, further highlighting her commitment to advancing innovation and sustainability. These accolades underscore her impactful work in fostering inclusive environments and pushing boundaries in science and technology. Her achievements inspire future generations of diverse STEM leaders. 🏆👩‍🔬🌍💡

Conference Activity

Dr. Desen Özkan has presented at numerous conferences, focusing on sociotechnical engineering education and diversity in the field. Notable presentations include “Positionality, Empathy, and Subjectivity in Research” at the 2024 Compassion and Global Citizenship Conference, and “What is a Job? Deconstructing Offshore Wind Jobs” at the 2024 Petrocultures Conference. Additionally, Dr. Özkan co-presented papers on worker safety in offshore wind at the ASEE Annual Conference and explored environmental racism in engineering courses. Her work also includes teaching design through sociotechnical perspectives, with a focus on student experiences in first-year engineering courses. 🎤🌍📚

Research Focus

Dr. Desen Özkan’s research primarily focuses on the intersection of engineering education, diversity, and sociotechnical systems. Her work explores how contextualization and cultural considerations can enhance learning experiences in engineering education. She investigates methods like persona-based curricular design and emphasizes the importance of addressing reality gaps in senior design projects. Additionally, Dr. Özkan examines the positionality of researchers in engineering education and the teacher-learner dynamic. Her research aims to make engineering education more inclusive, effective, and adaptable, particularly for minoritized groups. 🛠️📚💡🎓

Publication Top Notes

Positionality statements in engineering education research: A look at the hand that guides the methodological tools

Contextualization as virtue in engineering education

Using personas as curricular design tools: Engaging the boundaries of engineering culture

Contextualization in engineering education: A scoping literature review

Teacher learner, learner teacher: parallels and dissonance in an interdisciplinary design education minor

Reality gaps in industrial engineering senior design or capstone projects

Perspectives of Seven Minoritized Students in a First-Year Course Redesign toward Sociotechnical Engineering Education

TABASUM GULEDGUDD | Engineering | Best Researcher Award

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TABASUM GULEDGUDD | Engineering | Best Researcher Award

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

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

Publication Profile

Orcid

Academic Profile 

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

Employment Record

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

Research Experience

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

Previous Employment 

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

Current Employment 

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

Research Focus

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

Publication Top Notes

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

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

Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

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Dr. Thejasree Pasupuleti | Mechanical Engineering | Women Researcher Award

Dr at Mohan Babu University,  India

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

profile:

Scopus

Orcid

Scholar

💼 Roles:

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

🔍 Research Interests:

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

🎓 Education:

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

💼 Work Experience:

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

Publication:📝

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

     

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

     

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

     

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

     

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

     

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

     

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

     

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