Xiali Li | Computer Science | Excellence in Academic Research Published on 23/01/202623/01/2026 by Network Science Prof. Xiali Li | Computer Science | Excellence in Academic Research Award Minzu University of China | China Prof. Xiali Li’s research centers on artificial intelligence, reinforcement learning, deep neural networks, and intelligent game systems, with a strong emphasis on low-resource and culturally specific board games. The scholarly record comprises 72 documents, accumulating 500 citations across 457 citing documents, with an h-index of 11, reflecting sustained academic impact. The work spans advanced reinforcement learning frameworks, transformer-based architectures, residual and LSTM-integrated models, and lightweight computer vision networks. A significant contribution lies in AI-driven modeling of Mahjong and Tibetan Jiu chess, including hierarchical decision-making, human-knowledge–enhanced reinforcement learning, and efficient data collection using improved YOLO models. Publications in high-impact journals such as Engineering Applications of Artificial Intelligence, Frontiers of Information Technology & Electronic Engineering, Tsinghua Science and Technology, and CAAI Transactions on Intelligence Technology demonstrate both methodological innovation and practical relevance, advancing intelligent systems for complex decision-making and game AI research. Citation Metrics (Scopus) 500 400 100 50 0 Citations 500 h-index 11 Documents 72 Citations h-index Documents View Scopus Profile Featured Publications Efficient Mahjong model using an improved distributed proximal policy optimization algorithm and ResNet-LSTM – Engineering Applications of Artificial Intelligence, 2026 Jiu Fusion Artificial Intelligence (JFA): Two-stage reinforcement learning with hierarchical neural networks – Frontiers of Information Technology & Electronic Engineering, 2025 Fast and efficient gameplay data collection for Tibetan Jiu Chess using improved YOLOv8n – Tsinghua Science and Technology, 2025 LSAFJiu: A low-resource long-sequence action forecasting algorithm for Tibetan Jiu Chess – Tsinghua Science and Technology, 2025 An AI agent-based question-and-answer system for Tibetan Jiu Chess – ICGA Journal, 2025
Prof. Xiali Li’s research centers on artificial intelligence, reinforcement learning, deep neural networks, and intelligent game systems, with a strong emphasis on low-resource and culturally specific board games. The scholarly record comprises 72 documents, accumulating 500 citations across 457 citing documents, with an h-index of 11, reflecting sustained academic impact. The work spans advanced reinforcement learning frameworks, transformer-based architectures, residual and LSTM-integrated models, and lightweight computer vision networks. A significant contribution lies in AI-driven modeling of Mahjong and Tibetan Jiu chess, including hierarchical decision-making, human-knowledge–enhanced reinforcement learning, and efficient data collection using improved YOLO models. Publications in high-impact journals such as Engineering Applications of Artificial Intelligence, Frontiers of Information Technology & Electronic Engineering, Tsinghua Science and Technology, and CAAI Transactions on Intelligence Technology demonstrate both methodological innovation and practical relevance, advancing intelligent systems for complex decision-making and game AI research.
Konstantinos Azis | Technological Networks | Research Excellence Award Published on 21/01/202621/01/2026 by Network Science Mr. Konstantinos Azis | Technological Networks | Research Excellence Award Democritus University of Thrace | Greece Mr. Konstantinos Azis is an active researcher in environmental and biochemical engineering, with a strong focus on wastewater treatment processes, biological nutrient removal, membrane bioreactors, landfill leachate treatment, and advanced control strategies for energy-efficient operation of treatment systems. His research portfolio includes 14 peer-reviewed documents, which have received 119 citations across 116 citing documents, reflecting sustained scientific impact. He holds an h-index of 7, demonstrating consistent contributions to high-quality research outputs. His publications span leading international journals and conference proceedings, addressing topics such as intermittently aerated activated sludge systems, real-time control of nitrification–denitrification, simulation-based aeration strategies, fouling control in membrane systems, advanced oxidation processes, and microbial applications in environmental biotechnology. His work contributes to the development of sustainable, optimized, and data-driven solutions for water and wastewater management, supporting both environmental protection and operational efficiency. Citation Metrics (Scopus) 120 80 20 0 Citations 119 Documents 14 h-index 7 Citations Documents h-index View Scopus Profile Featured Publications Real-Time Dynamic Control of Nitrification and Denitrification in an Intermittently Aerated Activated Sludge System for Enhanced Nitrogen Removal and Energy Efficiency – Sustainability, 2025 A Simulation Study of a Twin Aeration Control Strategy for Wastewater Treatment Plants – SSRN, 2024 The Spring to Coast Approach in Small-Scale Catchments and Adjacent Coastal Zone – Water (Switzerland), 2024 Retrofitting a Full-Scale Multistage Landfill Leachate Treatment Plant Using Coagulation, Sedimentation, and Ultrafiltration – Environmental Monitoring and Assessment, 2023 A Control Strategy for an Intermittently Aerated and Fed Bioreactor to Reduce Aeration Costs: A Simulation Study – Biochemical Engineering Journal, 2021
Mr. Konstantinos Azis is an active researcher in environmental and biochemical engineering, with a strong focus on wastewater treatment processes, biological nutrient removal, membrane bioreactors, landfill leachate treatment, and advanced control strategies for energy-efficient operation of treatment systems. His research portfolio includes 14 peer-reviewed documents, which have received 119 citations across 116 citing documents, reflecting sustained scientific impact. He holds an h-index of 7, demonstrating consistent contributions to high-quality research outputs. His publications span leading international journals and conference proceedings, addressing topics such as intermittently aerated activated sludge systems, real-time control of nitrification–denitrification, simulation-based aeration strategies, fouling control in membrane systems, advanced oxidation processes, and microbial applications in environmental biotechnology. His work contributes to the development of sustainable, optimized, and data-driven solutions for water and wastewater management, supporting both environmental protection and operational efficiency.
Asif Hamid- Deep learning – Best Researcher Award Published on 17/04/202417/04/2024 by Network Science Asif Hamid- Deep learning – Best Researcher Award Mr. Asif Hamid distinguished academic and researcher in the field Deep learning. He has accumulated over four years of experience in writing and publishing research articles for journals and conferences. This experience has provided him with a deep understanding of various writing styles, from scholarly articles to book chapters and industry-focused documentation. His role as a reviewer for many prestigious conferences has also sharpened his critical thinking and editorial abilities. His expertise is not limited to writing; he is skilled in Python and MATLAB programming, which are crucial for his research projects. He possesses basic skills in HTML and is proficient with MS Office tools—Word, Excel, and PowerPoint—as well as LaTeX software, all vital for creating research papers and presentations. Additionally, his ability to utilize internet applications and implement deep learning techniques demonstrates his aptitude for integrating cutting-edge technology into his research activities. Professional Profiles Orcid Educations📚📚📚 He is currently pursuing a Ph.D. at the Islamic University of Science and Technology (IUST) in Awantipora, Jammu & Kashmir, India, a program he began in 2020. Prior to this, he earned his Master of Technology degree in Control and Instrumentation Systems from Jamia Milia Islamia (JMI) in India, where he distinguished himself by securing a CGPA of 9.3 out of 10, placing him in the top 1% of his class. His foundational education was completed at Baba Ghulam Shah Badshah University in Rajouri, Jammu & Kashmir, where he received his Bachelor of Technology degree in Electronics and Communication Engineering, achieving a percentile score of 75.6, which also placed him in the top 1% of his peers. Conference Papers • Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, M. A. (2022, May). Discovering low-rank representations of large-scale power-grid models using Koopman theory. In 2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON). IEEE.. [Link] • Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, M. A. (2022, July). Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics. In 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) (pp. 1-6). IEEE. [Link] • Asif Hamid Bhat, Rafiq, D., Nahvi, S. A., & Bazaz, Neural network-based time stepping Awards and Achievements He has received numerous accolades and support for his academic pursuits. Since 2020, he has been a recipient of the MHRD (Ministry of Human Resource Development, Government of India) fellowship for his Ph.D. studies in the Department of Electrical Engineering at the Islamic University of Science and Technology in Awantipora, Jammu & Kashmir, India, supported by grant number IUST0119013135. In 2019, he successfully qualified the GATE (Graduate Aptitude Test in Engineering) for Electronics and Communication Engineering, scoring 31.67 out of 100. Furthermore, in 2017, he qualified for the M.Tech. program at Jamia Milia Islamia, Delhi, by passing the entrance examination, demonstrating his consistent excellence and competence in his field. WORKSHOP / SEMINAR / TRAINING / STC attended 1. Presented Discovering low-rank representations of large scale power-grid models using Koopman theory paper in Electrical, Electronics, Computer Engineering Conference IEEE held on 26-27 may 2022 at Reva University. 2. Presented Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics paper in the INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROLLER AND COMPUTING FOR SMART POWER, IEEE 2022 organized by the Department of Electrical and Electronics Engineering, Sreenidhi Institute of Science And Technology, Hyderabad, India during 21–23 July 2022. 3. Reviewer for IEEE international conference on applied intelligence and sustainable computing 2023. 4. Attend in faculty development program entitled “Research Methodology + Publication Ethics” organised by Department of computer science and engineering IUST, Awantipora form 7-11 Feb 2022. 📝🔬Publications📝🔬 Hierarchical deep learning-based adaptive time stepping scheme for multiscale simulations Engineering Applications of Artificial Intelligence 2024-07 | Journal article DOI: 10.1016/j.engappai.2024.108430 CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz Neural network-based time stepping scheme for multiscale partial differential equations 2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA) 2023-10-27 | Conference paper DOI: 10.1109/cera59325.2023.10455439 CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz Deep learning assisted surrogate modeling of large-scale power grids Sustainable Energy, Grids and Networks 2023-06 | Journal article DOI: 10.1016/j.segan.2023.101031 Part ofISSN: 2352-4677 CONTRIBUTORS: Asif Hamid; Danish Rafiq; Shahkar Ahmad Nahvi; Mohammad Abid Bazaz Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics 2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) 2022-07-21 | Conference paper DOI: 10.1109/iciccsp53532.2022.9862464 CONTRIBUTORS: ASIF HAMID BHAT
Constance Bordet – Big data – Emerging Talent Award Published on 01/03/202401/03/2024 by Network Science Constance Bordet – Big data – Emerging Talent Award Dr. Constance Bordet distinguished academic and researcher in the Big data. she worked as a Professor Assistant in Pharmacology at Paris Saclay University, affiliated with Kremlin-Bicetre Hospital and Rives de Seine Hospital. Under the supervision of Professor Lamiae Grimaldi, her responsibilities included providing methodological support for research teams at the hospitals, particularly in clinical pharmacy and oncology. Additionally, she conducted research on drug treatments for multiple sclerosis patients using health insurance databases, alongside teaching activities. Professional Profiles Scopus Researchgate Educations📚📚📚 She earned her Pharmacy diploma from the University of Toulouse between 2013 and 2023. In 2019-2020, she pursued a Pharmacovigilance Pharmacoepidemiology University Diploma at the University of Bordeaux. Following this, she completed a Master 1 in Research Biology and Health with a focus on biostatistics at the University of Lille between 2015 and 2016. Later, in 2021-2022, she pursued a Master 2 in Public Health with a specialization in epidemiology at Paris Saclay University. Professional experiences Prior to this role, from November 2022 to October 2023, she worked at the Clinical Investigation Center of the University Hospital of Toulouse, providing methodological support for care teams in pneumology, internal medicine, and oncology. She also participated in methodological appraisals of national and inter-regional projects. She completed her Pharmacy thesis on protein kinase inhibitors for lung cancer management during this time. In January 2022 to July 2022, she undertook a Master 2 internship at the CESP (Center for Epidemiology and Population Health Research) – Epiphare, focusing on identifying factors associated with severe SARSCoV2 infection in multiple sclerosis patients using the National Health Data System. In May 2021 to November 2021, she worked in the Pharmacovigilance Department of the pharmaceutical company Merck, analyzing pharmacovigilance cases and participating in implementing recommendations for ovitrelle use in men. Earlier experiences include working in the oncology department of the University Hospital of Toulouse from November 2020 to April 2021, and in various pharmacovigilance centers and clinical pharmacy settings. Additionally, from November 2018 to April 2019, she worked in the medical device purchasing department at Toulouse University Hospital, contributing to the implementation of call for tenders. 📝🔬Publications📝🔬 Bordet C, Zureik M, Zelmat Y, Lafaurie M, Lapeyre-Mestre M, Sommet A, Mazieres J, Depas F. Deleterious Association Between Proton Pump Inhibitor and Protein Kinase Inhibitor Exposure and Survival for Patients with Lung Cancer: A Nationwide Cohort Study. Cancer Treatment and Research Communications. 2024. In press Bordet C, Garcia P, Salvo F, Touafchia A, Galinier A, Sommet A, Montastruc F. Antipsychotics and Risk of QT Prolongation: a Pharmacovigilance Study. Psychopharmacology. 2023 Bordet C, Rousseau V, Montastruc F, Montastruc JL. QT prolongation and vortioxetine: a postmarketing study and comparison with other serotonin reuptake inhibitors. Psychopharmacology. 2020
Jorge Laureano Moya Rodríguez – Neural Networks – Best Researcher Award Published on 09/02/202409/02/2024 by Network Science Jorge Laureano Moya Rodríguez – Neural Networks Prof Dr. Jorge Laureano Moya Rodríguez distinguished academic and researcher in the field Neural Network. Jorge Laureano Moya Rodríguez is a Professor Emeritus at the Central University “Marta Abreu” de las Villas. Cuba. He received his Ph.D. in Mechanical Engineering at this university in 1994. He published over a three hundred papers in professional journals and he has authored several books in mechanical and electrical engineering. He has several international and national awards, including some from the Academy of Sciences of Cuba. He has lectured in different Universities of Spain, México, Nicaragua and Brazil. He is currently visiting professor at the Federal University of Bahia in Brazil. Dr. Moya’s research interests are Multiobjective Optimization, Logistics, Computer Aided Design, and Computer Aided Engineering. Ele é também membro da ERASMUS MUNDUS ASSOCIATION (EMA) e da Associação Mexicana de Modelagem Numérica e Engenharia (AMMNI). Reconhecido como bolsista de produtividade em Pesquisa pelo CNPq (nível 2) e consultor ad hoc do CNPq, ele contribui como árbitro para diversas revistas científicas e instituições acadêmicas em países como Venezuela, Colômbia, Peru e Cuba. Com uma ampla lista de mais de 50 projetos de pesquisa concluídos e implementados em Cuba, ele é considerado Professor de Mérito pela Universidade Central Marta Abreu de Las Villas. Sua atuação como professor abrange cursos de pós-graduação e disciplinas de mestrado em várias universidades, incluindo a Universidade Federal do Espírito Santo (Brasil), Universidade Veracruzana (México), Universidade Técnica do Estado de Aragua (Venezuela) e Universidade Nacional de Engenharia (Nicarágua). Ele também coordenou o Mestrado em Engenharia Mecatrônica em várias universidades na Venezuela e trabalhou como professor convidado em diversas instituições no México, Peru e Espanha. Anteriormente, ele foi pesquisador do ITEGAM, professor visitante na Universidade Federal do Espírito Santo e na Universidade Federal da Bahia. Professional Profiles Orcid Linkedin Google scholar Researchgate Educations: 📚🎓 Jorge Laureano Moya Rodríguez, known in bibliographic citations as J. L. M. Rodríguez, J. L. Moya, Jorge Moya, Jorge Laureano Moya Rodríguez, J. Moya, Jorge Rodríguez, Jorge L. Moya Rodríguez, or variations thereof, is affiliated with the University Federal da Bahia, where he works within the Program of Industrial Engineering Postgraduate Studies. He completed a postdoctoral position in 2011 at the Universidad de Oviedo, UNIOVI, Spain, funded by the Agencia Española de Colaboración Internacional, AECI, Spain. The research was in the field of Engineering. In 2008, he undertook a postdoctoral fellowship at the Universidad de Oviedo, UNIOVI, Spain, funded by ERASMUS MUNDUS, EM, Germany. The research focus was in Engineering. In 2005, he conducted postdoctoral research at the Universidad Católica de Leuven, KLU, Belgium, supported by VLIR, VLIR, Belgium. The research was within the field of Engineering. Publication A new model for assessing industrial worker behavior regarding energy saving considering the theory of planned behavior, norm activation model and human reliability JRN Lopes, R de Araújo Kalid, JLM Rodríguez, S Ávila Filho Resources, Conservation and Recycling 145, 268-278 Different models for forecasting wind power generation: Case study D Barbosa de Alencar, C de Mattos Affonso, RC Limão de Oliveira, … Energies 10 (12), 1976 Hígado graso: ultrasonido y correlación anatomopatológica P Csendes, P Paolinelli, D Busel, V Venturelli, J Rodríguez Revista chilena de radiología 10 (2), 50-52 A new solution to the economical load dispatch of power plants and optimization using differential evolution MHR Nascimento, MVA Nunes, JLM Rodríguez, JC Leite Electrical Engineering 99, 561-571 Thermo ecological optimization of shell and tube heat exchangers using NSGA II MBR Rodríguez, JLM Rodríguez, CHDO Fontes Applied Thermal Engineering 156, 91-98 Automatización y optimización del diseño de intercambiadores de calor de tubo y coraza mediante el método de Taborek MB Reyes-Rodríguez, JL Moya-Rodríguez, OM Cruz-Fonticiella, … Ingeniería Mecánica 17 (1), 78-89 Interactions among stakeholders in the processes of city logistics: a systematic review of the literature PPS de Carvalho, R de Araújo Kalid, JLM Rodríguez, SB Santiago Scientometrics 120, 567-607 Colangioresonancia (CPRM) vs ultrasonido (US) focalizado en pacientes con ictericia o sospecha de obstrucción de la vía biliar: resultados preliminares D Busel, L Pérez, A Arroyo, D Ortega, JP Niedmann, P Palavecino, … Revista chilena de radiología 9 (4), 173-181 Solution to economic emission load dispatch by simulated annealing: case study JAB Júnior, MVA Nunes, MHR Nascimento, JLM Rodríguez, JC Leite Electrical Engineering 100 (2), 749-761 Evaluation of the City Logistics Performance Through Structural Equations Model PPSD Carvalho, RDA Kalid, JLM Rodrígue IEEE ACCESS Tacón de Torque para uso Ortopédico: Propuesta de un Nuevo Diseño R González, E García, J Moya V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21 Utilización de Sistemas Basados en Reglas y en Casos para diseñar transmisiones por tornillo sinfín JL Moya-Rodríguez, AM Becerra-Ferreiro, CA Chagoyén-Méndez Ingeniería Mecánica 15 (1), 01-09 A study in asymmetric plastic spur gears JL Moya, AS Machado, JA Velásquez, R Goytisolo, AE Hernández, … Gear Solutions magazine 8 (84), 34-41 Maintenance tools applied to electric generators to improve energy efficiency and power quality of thermoelectric power plants MF Junior, UH Bezerra, JC Leite, JL Moya Rodríguez Energies 10 (8), 1091 El portafolios digital como herramienta para el desarrollo de competencias transversales en el alumnado JL Rodríguez, C Galván, F Martínez Red de revistas científica de América Latina y el Caribe, España y Portugal … TEC variability over Havana for different solar activity conditions B Lazo, K Alazo, M Rodriguez, A Calzadilla Advances in Space Research 34 (9), 2044-2048 Cryptosporidiosis in chickens from southern Spain A Fernández, M Quezada, MA Gómez, JA Navarro, J Rodríguez, … Avian diseases, 224-227 Modelos de materiales hiperelásticos para el análisis de los elastómeros usando el MEF RAG Carbonell, EÁ García, JLM Rodríguez, KA González Ingeniería Mecánica 12 (3), 57-66 Upstream analytical work to support development of policy options for mid-and long-term mitigation objectives in Colombia A Cadena, J Bocarejo, M Rodríguez, R Rosales, R Delgado, E Flórez, … Bogotá, Colombia, Universidad de los Andes
Maria llop – Large Scale datasets -Best Researcher Award Published on 22/12/202328/12/2023 by Network Science Maria llop – Large Scale datasets Prof. Maria llop a distinguished academic and researcher in the field of Large Scale datasets. As of June 2018, she holds the esteemed position of Full Professor of Economic Theory in the Departament d’Economia at Universitat Rovira i Virgili. In recognition of her leadership capabilities and academic expertise, she assumed the role of Head of the Departament d’Economia at the university in July 2022. This dual responsibility underscores her commitment to both advancing economic theory through her professorial role and contributing to the effective administration of the department as its head. Her tenure in these key roles reflects a dedication to excellence in both academic scholarship and institutional leadership at Universitat Rovira i Virgili. Eduvation She obtained her degree in Economics from Universitat de Barcelona in 1993, and during her academic journey, she actively participated in the EUS Educational Program (“Empresa-Universitat-Societat”), gaining valuable work experience in the regional government. Subsequently, she pursued her passion for research and earned her Ph.D. in Economics from Universitat Rovira i Virgili in 2001. Her doctoral dissertation, titled “Un Análisis de Equilibrio General de la Economía Catalana,” was conducted under the guidance of Supervisor Antonio Manresa from Universitat de Barcelona, and it received the prestigious qualification of Cum Laude. Her outstanding academic achievements were further recognized with the Extraordinary Ph.D. Dissertation Award, underscoring the excellence and significant contribution of her research within the field of Economics. Professional Profiles: Orcid scopus google scholar Researchgate TEACHING POSITIONS: She has held a progression of esteemed teaching positions, culminating in her current role as Full Professor at Universitat Rovira i Virgili since 2018. Her academic journey began as a Part-time Assistant Professor at the same university from 1993 to 1995, showcasing her early commitment to education. Building on this foundation, she assumed the role of Assistant Professor at Universitat Rovira i Virgili from 1995 to 2008, contributing significantly to the academic community. Following this, she embraced a new challenge as an Assistant Professor at Universitat Oberta de Catalunya, starting in 2005, where she has continued to make a positive impact on students’ education. Her dedication and expertise were further recognized with an appointment as an Associate Professor at Universitat Rovira i Virgili, a position she held from 2008 to 2018, before attaining the pinnacle of her academic career as a Full Professor. FELLOWSHIPS AND AWARDS: 🎓✨ Throughout her distinguished career, she has garnered numerous accolades and certifications, solidifying her position as a trailblazer in the field of Economics. Her commitment to excellence is underscored by the prestigious Certificate of Full Professor in Economics awarded by AQU in 2016, preceded by a similar recognition from ANECA in 2012. Demonstrating a consistent dedication to her academic journey, she earned the Certificate of Associate Professor in Economics from ANECA in 2008. Her prowess in research has been consistently acknowledged with four positive evaluations of research periods spanning from 1999 to 2022 by CNEAI. Among her noteworthy achievements is the receipt of the Extraordinary Ph.D. Dissertation Award from Universitat Rovira i Virgili in 2001, highlighting the exceptional quality of her doctoral research. Her academic pursuits were also complemented by the recognition as a Scholar of the EUS Educational Program (“Empresa-Universitat-Societat”) at Universitat de Barcelona during 1992-1993. During this period, she gained valuable work experience in the Generalitat de Catalunya’s Gabinet Tècnic within the Departament d’Agricultura, Ramaderia i Pesca. 🏆📚 Books El grup SAGESSA: Activitat i impacte econòmic. Grup SAGESSA, 2010 (with M. Carles, B. López, M. J. Pérez and J. Sardà) (in Catalan). Propuesta metodológica para evaluar el impacto económico del desmantelamiento de la Central Nuclear de Zorita (Guadalajara). Informe final, Documentos Internos de Enresa, 01/2007 (with J. Sardà) (in Spanish). Impacto económico del desmantelamiento de la central nuclear Vandellòs I, Publicaciones Técnicas 08/2005, Enresa, 2005 (in Spanish) Selected Book Chapters “Environmentally extended input-output analysis for sustainable regional development,” in S. Massari, G. Sonnemann, and F. Balkau (editors): Life cycle approaches to regional development, Routledge, 2017, 53-59 (with E. D. Gemechu, I. Butnar, F. Castells, and G. Sonnemann). “GHG emissions minimization at the macroeconomic level via a multi-objective optimization/Input-Output approach: A case study of the EU-25 economy,” in J. J. Klemes, P. S. Varbanov, and P. Y. Liew (editors): Computer Aided Chemical Engineering, Elsevier, 2014, 33, 1069-1074 (with D. Cortés-Borda, A. Ruiz-Hernández, G. Guillén-Gosálbez, R. Guimerà, and M. Sales-Pardo). “Anàlisi sectorial: L’energia” in Generalitat de Catalunya: Informe annual sobre la indústria a Catalunya 2010, Departament d’Innovació, Universitats i Empresa, 2011, 261-270 (in Catalan). Public Research Projects: “Economic Challenges for the Next Generation (ECO-NEXT)”, Catalan Government (2021SGR-00729), 2023-2025 (main researcher). “Percepción social y transición ecológica bajo un análisis socio-económico multidimensional de las regiones españolas”, Spanish Ministry of Science and Innovation (TED2021-130835B-I00), 2022-2024 (main researcher). “La transició energética a Tarragona: Aspectes socials i acceptació ciutadana”, Diputació de Tarragona, 2021. “Quantitative, Urban and Regional Economics (QURE)”, Catalan Government (2017SGR-159), 2018-2020 (main researcher) “Economía, medio ambiente y políticas correctoras: Un enfoque multidisciplinar de equilibrio general”, Spanish Ministry of Economy and Competitiveness (ECO2016-75204-P), 2017-2019 (main researcher) “Quantitative, Urban and Regional Economics (QURE)”, Catalan Government (2014SGR-299), 2014-2017. “Las políticas ambientales europeas en España: Una evaluación a través de un análisis económico-tecnológico multidisciplinar”, Spanish Ministry of Economy and Competitiveness (ECO2013-41917-P), 2014-2016 (main researcher) Publications Structural decomposition analysis and input–output subsystems: Changes in CO2 emissions of Spanish service sectors (2000–2005) I Butnar, M Llop Ecological Economics 70 (11), 2012-2019 Economic impact of alternative water policy scenarios in the Spanish production system: An input–output analysis M Llop Ecological Economics 68 (1-2), 288-294 – 2018 Economic and environmental effects of CO2 taxation: an input-output analysis for Spain ED Gemechu, I Butnar, M Llop, F Castells Journal of Environmental Planning and Management 57 (5), 751-768 – 2014 Economic structure and pollution intensity within the environmental input–output framework M Llop Energy Policy 35 (6), 3410-3417 – 2007 Input–output analysis of alternative policies implemented on the energy activities: an application for Catalonia M Llop, L Pié Energy policy 36 (5), 1642-1648 – 2008
Harshavardhan Awari – Machine Learning-Healthcare Published on 18/12/202318/12/2023 by Network Science Dr. Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare Dr. Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.” Eduvation He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000. Professional Profiles: scholar scopus Orcid Researcher Id RESEARCH ACTIVITIES He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence. Achievements: Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication Editorial Member for the Lattice Science Publication Reviewer for the Imaging Science Journal Reviewer for the ICCINS-2022 Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021) Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems Awards: He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter. His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022. Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022. In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022. Publication An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, … Concurrent Engineering 29 (4), 386-395 _ 2021 Text categorization Performance examination Using Machine Learning Algorithms BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020 IoT Based Smart Solar Atmospheric Water Harvesting System E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, … IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020 Cardiovascular disease prediction using deep learning techniques SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan IOP conference series: materials science and engineering 981 (2), 022006 – 2020 Cardiovascular disease prediction using deep learning techniques SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan IOP conference series: materials science and engineering 981 (2), 022006 – 2020