
Hamed Ahmadi
· Assistant ProfessorVerifiedUniversity of Minnesota · Urology
Active 1990–2026
About
Hamed Ahmadi, MD, is an Assistant Professor in the Department of Urology at the University of Minnesota. He attended Tehran University of Medical Sciences for his medical education and completed his residency training in Urologic Surgery at Oregon Health and Science University in Portland, Oregon. He recently completed a fellowship in Urologic Oncology at the University of Southern California and joined the department shortly thereafter. Dr. Ahmadi specializes in the open and minimally invasive management of complex genitourinary cancers. His main research interest is tumor marker-based management of bladder and testis cancer.
Research topics
- Computer Science
- Medicine
- Artificial Intelligence
- Internal medicine
- Telecommunications
- Biology
- Urology
- Oncology
- General surgery
- Radiology
Selected publications
The Journal of Urology · 2026-04-27
articleThe Journal of Urology · 2026-04-27
articleSenior authorThe Journal of Urology · 2026-04-27
articleDigital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks
ArXiv.org · 2025-09-15
preprintOpen accessSenior authorDigital Twin (DT) technology enables real-time monitoring and optimization of complex network infrastructures by creating accurate virtual replicas of physical systems. In millimeter-wave (mmWave) 5G/6G networks, the deployment of Integrated Access and Backhaul (IAB) nodes faces highly dynamic urban environments, necessitating intelligent DT-enabled optimization frameworks. Traditional IAB deployment optimization approaches struggle with the combinatorial complexity of jointly optimizing coverage, connectivity, and resilience, often leading to suboptimal solutions that are vulnerable to network disruptions. With this consideration, we propose a novel Graph Attention Network v2 (GATv2)-based reinforcement learning approach for resilient IAB deployment in urban mmWave networks. Specifically, we formulate the deployment problem as a Markov Decision Process (MDP) with explicit resilience constraints and employ edge-conditioned GATv2 to capture complex spatial dependencies between heterogeneous node types and dynamic connectivity patterns. The attention mechanism enables the model to focus on critical deployment locations to maximize coverage and ensure fault tolerance through redundant backhaul connections. To address the inherent vulnerability of mmWave links, we train the GATv2 policy using Proximal Policy Optimization (PPO) with a carefully designed balance between coverage, cost, and resilience. Comprehensive simulations across three urban scenarios demonstrate that our method achieves 98.5-98.7 percent coverage with 14.3-26.7 percent fewer nodes than baseline approaches, while maintaining 87.1 percent coverage retention under 30 percent link failures, representing 11.3-15.4 percent improvement in fault tolerance compared to state-of-the-art methods.
2024-07-23 · 1 citations
articleOpen accessSenior authorDeploying new optimised routing policies on routers in the event of link failure is difficult due to the strong coupling between the data and control planes and the absence of topology information about the network. Because of the distributed architecture of traditional Internet protocol networks, policies and routing rules are spread in a decentralised way, resulting in looping and congestion problems. Software-defined networking (SDN) enables centralised network programmability. As a result, data plane devices just focus on packet forwarding, leaving the control plane's complexities to be managed by the controller. Thus, the controller centrally installs the policies and rules. Considering the controller's knowledge of the global network architecture, central control enhances the flexibility of link failure identification and restoration. Therefore, this paper uses SDN architecture to enhance network resilience against link failures by introducing the Hybrid Intelligent Fast Failure Recovery (HIFFR) framework, which aims to improve the speed and effectiveness of network failure recovery.
European Urology · 2023-08-12
articleSenior authorCorrespondingUrologic Oncology Seminars and Original Investigations · 2023-03-24 · 3 citations
articleOpen accessOBJECTIVE: To evaluate the incidence and predictors of early postoperative acute kidney injury (EP-AKI) during index hospitalization following radical cystectomy and its association with postoperative outcomes. METHODS: All patients with bladder cancer who underwent radical cystectomy with intent-to-cure at our center between 2012 and 2020 were reviewed. EP-AKI during index hospitalization was evaluated using the Acute Kidney Injury Network criteria. The association between EP-AKI and demographics, clinicopathologic features, and perioperative outcomes, including length of hospital stay, complication rate, and readmission rate, were examined. A logistic regression analysis was performed to evaluate the predictors of EP-AKI. RESULTS: Overall, 435 patients met eligibility, of whom 112 (26%) experienced EP-AKI during index hospitalization (90 [21%] stage 1, 17 [4%] stage 2, and 5 [1%] stage 3). EP-AKI was associated with a longer mean operative time (6.8 vs. 6.1 hours; P < 0.001), higher mean length of hospital stay (6.3 vs. 5.6; P = 0.02), 30-day complication rate (71% vs. 51%; P < 0.001), 90-day complication rate (81% vs. 69%; P = 0.01) and 90-day readmission rate (37% vs. 33%; P = 0.04). The rate of complications increased at higher stages of AKI. On multivariable analysis, perioperative blood transfusion (OR: 1.84, P = 0.02) and continent diversion (OR: 3.29, P < 0.001) were independent predictors of EP-AKI. CONCLUSION: A quarter of cystectomy patients experience acute kidney injury during index hospitalization, which is associated with higher length of stay, postoperative complication, and readmission rates. Perioperative blood transfusion and continent diversion are independent predictors of such injury.
International braz j urol · 2023-06-01 · 20 citations
articleOpen accessPURPOSE: To evaluate the perioperative mortality and contributing variables among patients who underwent radical cystectomy (RC) for bladder cancer in recent decades, with comparison between modern (after 2010) and premodern (before 2010) eras. MATERIALS AND METHODS: Using our institutional review board-approved database, we reviewed the records of patients who underwent RC for primary urothelial bladder carcinoma with curative intent from January 2003 to December 2019. The primary and secondary outcomes were 90- and 30-day mortality. Univariate and multivariable logistic regression models were applied to assess the impact of perioperative variables on 90-day mortality. RESULTS: A total of 2047 patients with a mean±SD age of 69.6±10.6 years were included. The 30- and 90-day mortality rates were 1.3% and 4.9%, respectively, and consistent during the past two decades. Among 100 deaths within 90 days, 18 occurred during index hospitalization. Infectious, pulmonary, and cardiac complications were the leading mortality causes. Multivariable analysis showed that age (Odds Ratio: OR 1.05), Charlson comorbidity index ≥ 2 (OR 1.82), blood transfusion (OR 1.95), and pathological node disease (OR 2.85) were independently associated with 90-day mortality. Nevertheless, the surgical approach and enhanced recovery protocols had no significant effect on 90-day mortality. CONCLUSION: The 90-day mortality for RC is approaching five percent, with infectious, pulmonary, and cardiac complications as the leading mortality causes. Older age, higher comorbidity, blood transfusion, and pathological lymph node involvement are independently associated with 90-day mortality.
Figshare · 2023-01-01
datasetOpen accessABSTRACT Purpose To evaluate the perioperative mortality and contributing variables among patients who underwent radical cystectomy (RC) for bladder cancer in recent decades, with comparison between modern (after 2010) and premodern (before 2010) eras. Materials and Methods Using our institutional review board-approved database, we reviewed the records of patients who underwent RC for primary urothelial bladder carcinoma with curative intent from January 2003 to December 2019. The primary and secondary outcomes were 90- and 30-day mortality. Univariate and multivariable logistic regression models were applied to assess the impact of perioperative variables on 90-day mortality. Results A total of 2047 patients with a mean±SD age of 69.6±10.6 years were included. The 30- and 90-day mortality rates were 1.3% and 4.9%, respectively, and consistent during the past two decades. Among 100 deaths within 90 days, 18 occurred during index hospitalization. Infectious, pulmonary, and cardiac complications were the leading mortality causes. Multivariable analysis showed that age (Odds Ratio: OR 1.05), Charlson comorbidity index ≥ 2 (OR 1.82), blood transfusion (OR 1.95), and pathological node disease (OR 2.85) were independently associated with 90-day mortality. Nevertheless, the surgical approach and enhanced recovery protocols had no significant effect on 90-day mortality. Conclusion The 90-day mortality for RC is approaching five percent, with infectious, pulmonary, and cardiac complications as the leading mortality causes. Older age, higher comorbidity, blood transfusion, and pathological lymph node involvement are independently associated with 90-day mortality.
British Journal of Urology · 2022-01-19 · 12 citations
article1st authorCorrespondingObjective To evaluate long‐term renal function in patients with chronic kidney disease (CKD) Stage IIIa who underwent radical cystectomy and orthotopic neobladder (RC/ONB) compared to matched controls. Patients and Methods Using our Institutional Review Board‐approved institutional database, patients with a glomerular filtration rate (GFR) of 45–59.9 mL/min/1.73 m 2 who underwent RC/ONB were identified. A control group of patients with a GFR of ≥60 mL/min/1.73 m 2 was selected. Groups were matched based on age, baseline hypertension/diabetes mellitus, perioperative chemotherapy, and preoperative hydronephrosis. A decrease in GFR of >10 mL/min/1.73 m 2 during the follow‐up was considered significant. A multivariate Cox regression analysis was performed to identify predictors of GFR decline in each group. Results Of 1237 patients who underwent RC/ONB, 508 patients were included (254 per group). The mean preoperative GFR was 53.3 mL/min/1.73 m 2 in the study group and 78.8 mL/min/1.73 m 2 in controls. The median follow‐up was 3.7 years. During follow‐up, GFR stayed at or above baseline in 51% of the study patients compared to 46% of the controls ( P = 0.5). The mean time to a significant GFR decline in the study patients was significantly longer compared to the controls (5.6 vs 2 years, respectively; P < 0.001). In multivariate analysis, neoadjuvant chemotherapy was found to be the strongest predictor of a significant GFR decline as well as GFR decline below baseline (hazard ratio [HR] 2.15, 95% confidence interval [CI] 1.4–3.29, P = 0.004; and HR 2.15, 95% CI 1.4–3.29, P < 0.001, respectively). Conclusion Patients with CKD Stage IIIa who undergo ONB appear to have comparable long‐term renal function to those with a GFR of ≥60 mL/min/1.73 m 2 . An ONB reconstruction is a safe option for patients with CKD Stage IIIa desiring a continent diversion.
Frequent coauthors
- 66 shared
Siamak Daneshmand
University of Southern California
- 43 shared
Hooman Djaladat
- 33 shared
Anne Schuckman
University of Southern California
- 30 shared
Gus Miranda
Keck Hospital of USC
- 22 shared
Nima Baradaran
University of California, San Francisco
- 22 shared
Laleh Montaser‐Kouhsari
- 21 shared
Gholamreza Pourmand
Sina Hospital
- 21 shared
Inderbir S. Gill
Labs
Education
PhD, Electrical and Computer Engineering
University of Tehran
Awards & honors
- Minnesota Monthly Magazine Top Doctors - 2025
- Minnesota Monthly Magazine Top Doctors for Women - 2026
- Urology Surgery Research All-Star by Avant-Garde Health - 20…
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