Peter Anyin | Engineering | Research Excellence Award

Dr. Peter Anyin | Engineering | Research Excellence Award

Institute for Intermodal Transports and Logistics Systems | Germany

Anyin, Peter Betianabeshe, Ph.D., is a transportation engineer and researcher specializing in traffic planning, simulation, and quantitative modeling of complex mobility systems. His academic and professional work is centered on developing data-driven and system-oriented approaches to improve traffic operations, urban mobility, and infrastructure planning, particularly in rapidly growing metropolitan regions. He is currently engaged in advanced research at Technische Universität Braunschweig, Germany, where his doctoral studies focus on transportation planning and traffic simulation, with a strong emphasis on designing quantitative metrics for evaluating microscopic traffic simulators and systemic planning frameworks. His Ph.D. research addresses the systemic planning of traffic in Lagos, Nigeria, integrating simulation-based methodologies with real-world mobility challenges. Dr. Anyin’s research expertise spans microscopic traffic simulation, queueing theory, statistical traffic data analysis, and computational modeling. He has extensive experience working with industry-standard simulation tools such as VISSIM, SUMO, Aimsun, and MATSim, alongside programming and analytical platforms including Python, MATLAB, Simulink, and SQL. His interdisciplinary research also extends into machine learning applications, such as generative adversarial networks and physics-informed neural networks, applied to traffic systems and pavement modeling. He has authored multiple peer-reviewed journal articles and conference papers on traffic simulation comparison, queueing models, sustainable transportation systems, and computational methodologies. His work has been published in reputable international journals and presented at global conferences. In addition to research, he actively supervises graduate students, contributes to collaborative urban planning projects, and engages with stakeholders to translate simulation research into practical transportation solutions.

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Featured Publications

Analytical Determination of Queueing System Performance for Sustainable Economic Development
– Arid Zone Journal of Engineering, Technology and Environment, 2022
MATLAB SimEvent for Traffic Queue Model
– Arid Zone Journal of Engineering, Technology and Environment, 2024
Simplified Octahedral Shear Stress Theory for Plane Elements
– Nnamdi Azikiwe University Journal of Civil Engineering, 2025
Formulation of Limit State Deflection Equation for Thin Rectangular Steel Plates Analysis
– Nnamdi Azikiwe University Journal of Civil Engineering, 2025
Pertuzumab Overcomes Chemotherapy/Trastuzumab Resistance in ER+/HER2+ Tumors Classified as Luminal Functional Subtype
– Cancer Research (Supplement), 2016

Srikanth Nandoori | Engineering | Best Researcher Award

Dr. Srikanth Nandoori | Engineering | Best Researcher Award

Anurag University | India

Dr. Nandoori Srikanth is an accomplished academician and training strategist with over eleven years of combined experience in teaching, training, placements, and industry engagement. He holds a Ph.D. in Wireless Communications from KL University, where his research focused on developing energy-efficient cluster-based routing protocols to enhance the lifetime and performance of Wireless Sensor Networks. His academic background spans VLSI System Design at the postgraduate level and Electronics & Communication Engineering at both graduation and diploma levels, forming a strong foundation for his technical expertise. Throughout his career, Dr. Srikanth has contributed significantly to engineering education through his roles as Associate Professor, Assistant Professor, Placement Coordinator, Training & Placement Officer, and currently as Dean of Placements at St. Peter’s Engineering College. His leadership has strengthened institutional-industry collaboration, resulting in the establishment of multiple Centers of Excellence with global organizations such as Microsoft, IDS Blockchain, Movate, and Juniper Networks. He has also led the signing of key MoUs with Google Cloud, Infosys Springboard, Eduskills, Internshala, and several emerging technology firms, enabling students to access high-value skilling, internship, and hiring opportunities. Dr. Srikanth’s efforts in fostering employability have earned him prestigious recognitions, including the All-India 4th Rank and State 2nd Rank in Internshala Rankings, the Best SPOC Award from Eduskills (received three times), and commendations for promoting Google Cloud certifications. Additionally, he holds professional certifications in Google Cloud Associate, ServiceNow, and Microsoft Azure Fundamentals. His work reflects a deep commitment to academic excellence, student development, and innovation-driven education.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Srikanth, N., & Prasad, M. S. G. (2018). Efficient clustering protocol using fuzzy K-means and midpoint algorithm for lifetime improvement in WSNs. International Journal of Intelligent Engineering and Systems, 11(4), 61–71.

Srikanth, N., & Prasad, M. S. (2019). Energy efficient trust node based routing protocol (EETRP) to maximize the lifetime of wireless sensor networks in plateaus. International Journal of Online & Biomedical Engineering, 15(6).

Srikanth, N., & Prasad, M. S. G. (2019). A compressive family based efficient trust routing protocol (C-FETRP) for maximizing the lifetime of WSN. In Data Communication and Networks: Proceedings of GUCON 2019 (pp. 69–80).

Srikanth, N., & Prasad, M. S. G. (2019). Family based efficient routing protocol (FERP) for lifetime improvement in heterogeneous wireless sensor networks. Journal of Advanced Research in Dynamical and Control Systems, 11(6), 131–140.

Sangari, M. S., Thangaraj, K., Vanitha, U., Srikanth, N., Sathyamoorthy, J., … (2023). Deep learning-based object detection in underwater communications system. In 2023 Second International Conference on Electrical, Electronics, Information and Communication Technology.